{"id":"https://openalex.org/W4403219367","doi":"https://doi.org/10.1186/s12911-024-02702-0","title":"Forecasting severe respiratory disease hospitalizations using machine learning algorithms","display_name":"Forecasting severe respiratory disease hospitalizations using machine learning algorithms","publication_year":2024,"publication_date":"2024-10-09","ids":{"openalex":"https://openalex.org/W4403219367","doi":"https://doi.org/10.1186/s12911-024-02702-0","pmid":"https://pubmed.ncbi.nlm.nih.gov/39379946"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-024-02702-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-024-02702-0","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02702-0","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02702-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101516329","display_name":"Steffen Albrecht","orcid":"https://orcid.org/0000-0002-9765-4136"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]},{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Steffen Albrecht","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. steffen.albrecht@auckland.ac.nz","University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. steffen.albrecht@auckland.ac.nz","institution_ids":["https://openalex.org/I154130895","https://openalex.org/I39854758"]},{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069715395","display_name":"David Broderick","orcid":"https://orcid.org/0009-0008-5213-5886"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"David Broderick","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055291408","display_name":"Katharina Dost","orcid":"https://orcid.org/0000-0002-1514-0685"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Katharina Dost","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104618293","display_name":"Isabella Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Isabella Cheung","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047278425","display_name":"Nhung Nghiem","orcid":"https://orcid.org/0000-0003-0078-4549"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nhung Nghiem","raw_affiliation_strings":["Australian National University, 131 Garran Rd, Acton, Canberra ACT, 2601, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University, 131 Garran Rd, Acton, Canberra ACT, 2601, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111357173","display_name":"M. Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Milton Wu","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113423102","display_name":"Johnny Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Johnny Zhu","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107822988","display_name":"Nooriyan Poonawala-Lohani","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Nooriyan Poonawala-Lohani","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045586359","display_name":"Sarah Jamison","orcid":"https://orcid.org/0000-0002-5616-6697"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Sarah Jamison","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107822987","display_name":"Damayanthi Rasanathan","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Damayanthi Rasanathan","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004246755","display_name":"Q. Sue Huang","orcid":"https://orcid.org/0000-0002-3923-5195"},"institutions":[{"id":"https://openalex.org/I4210132331","display_name":"New Zealand Institute for Public Health and Forensic Science","ror":"https://ror.org/0405trq15","country_code":"NZ","type":"facility","lineage":["https://openalex.org/I4210132331"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Sue Huang","raw_affiliation_strings":["Institute of Environmental Science and Research, 34 Kenepuru Drive, Kenepuru, Porirua, 5022, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Environmental Science and Research, 34 Kenepuru Drive, Kenepuru, Porirua, 5022, New Zealand","institution_ids":["https://openalex.org/I4210132331"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047498171","display_name":"Adrian Trenholme","orcid":"https://orcid.org/0000-0003-1517-8103"},"institutions":[{"id":"https://openalex.org/I2800397025","display_name":"Middlemore Hospital","ror":"https://ror.org/055d6gv91","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2800397025","https://openalex.org/I4405259026"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Adrian Trenholme","raw_affiliation_strings":["Health New Zealand Counties Manukau, Middlemore Hospital, 100 Hospital Road, Auckland, 2025, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health New Zealand Counties Manukau, Middlemore Hospital, 100 Hospital Road, Auckland, 2025, New Zealand","institution_ids":["https://openalex.org/I2800397025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086824599","display_name":"Alicia Stanley","orcid":null},"institutions":[{"id":"https://openalex.org/I2801418622","display_name":"Auckland City Hospital","ror":"https://ror.org/05e8jge82","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2801418622","https://openalex.org/I4405259026"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Alicia Stanley","raw_affiliation_strings":["Health New Zealand Te Toka Tumai Auckland, Auckland City Hospital, 2 Park Road, Auckland, 1023, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health New Zealand Te Toka Tumai Auckland, Auckland City Hospital, 2 Park Road, Auckland, 1023, New Zealand","institution_ids":["https://openalex.org/I2801418622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084396203","display_name":"Shirley Lawrence","orcid":"https://orcid.org/0009-0007-2068-4197"},"institutions":[{"id":"https://openalex.org/I2800397025","display_name":"Middlemore Hospital","ror":"https://ror.org/055d6gv91","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2800397025","https://openalex.org/I4405259026"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Shirley Lawrence","raw_affiliation_strings":["Health New Zealand Counties Manukau, Middlemore Hospital, 100 Hospital Road, Auckland, 2025, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health New Zealand Counties Manukau, Middlemore Hospital, 100 Hospital Road, Auckland, 2025, New Zealand","institution_ids":["https://openalex.org/I2800397025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001252350","display_name":"Samantha Marsh","orcid":"https://orcid.org/0000-0001-8129-0350"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Samantha Marsh","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100282061","display_name":"Lorraine Castelino","orcid":"https://orcid.org/0009-0001-3081-6778"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Lorraine Castelino","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067758701","display_name":"Janine Paynter","orcid":"https://orcid.org/0000-0002-8833-4501"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Janine Paynter","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036141549","display_name":"Nikki Turner","orcid":"https://orcid.org/0000-0001-8760-5245"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Nikki Turner","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005901241","display_name":"Peter McIntyre","orcid":"https://orcid.org/0000-0001-5808-7450"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Peter McIntyre","raw_affiliation_strings":["University of Otago, 362 Leith Street, Dunedin, 9016, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Otago, 362 Leith Street, Dunedin, 9016, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028387093","display_name":"Patricia Riddle","orcid":"https://orcid.org/0000-0001-8616-0053"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Patricia Riddle","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011444993","display_name":"Cameron Grant","orcid":"https://orcid.org/0000-0002-4032-7230"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]},{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Cameron Grant","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. cc.grant@auckland.ac.nz","University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. cc.grant@auckland.ac.nz","institution_ids":["https://openalex.org/I154130895","https://openalex.org/I39854758"]},{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016115576","display_name":"Gillian Dobbie","orcid":"https://orcid.org/0000-0001-7245-0367"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Gillian Dobbie","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. g.dobbie@auckland.ac.nz","University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. g.dobbie@auckland.ac.nz","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079908211","display_name":"J\u00f6rg Wicker","orcid":"https://orcid.org/0000-0003-0533-3368"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Simon Wicker","raw_affiliation_strings":["University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. j.wicker@auckland.ac.nz","University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. j.wicker@auckland.ac.nz","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101516329"],"corresponding_institution_ids":["https://openalex.org/I154130895","https://openalex.org/I39854758"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":5.3024,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96907124,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"293","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.22910000383853912,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.22910000383853912,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.16990000009536743,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11095","display_name":"Emergency and Acute Care Studies","score":0.10610000044107437,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rhinovirus","display_name":"Rhinovirus","score":0.585625410079956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5758931636810303},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.49619680643081665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4934152662754059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47754156589508057},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.47129738330841064},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.41184157133102417},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.3680112361907959},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.36118143796920776},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.3101811408996582},{"id":"https://openalex.org/keywords/respiratory-system","display_name":"Respiratory system","score":0.25095415115356445},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1420210599899292}],"concepts":[{"id":"https://openalex.org/C2779278377","wikidata":"https://www.wikidata.org/wiki/Q1351647","display_name":"Rhinovirus","level":3,"score":0.585625410079956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5758931636810303},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.49619680643081665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4934152662754059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47754156589508057},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.47129738330841064},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.41184157133102417},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.3680112361907959},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.36118143796920776},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3101811408996582},{"id":"https://openalex.org/C534529494","wikidata":"https://www.wikidata.org/wiki/Q7891","display_name":"Respiratory system","level":2,"score":0.25095415115356445},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1420210599899292},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009520","descriptor_name":"New Zealand","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D009520","descriptor_name":"New Zealand","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D009520","descriptor_name":"New Zealand","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D009520","descriptor_name":"New Zealand","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D009520","descriptor_name":"New Zealand","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D012141","descriptor_name":"Respiratory Tract Infections","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D012141","descriptor_name":"Respiratory Tract Infections","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D012141","descriptor_name":"Respiratory Tract Infections","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D012141","descriptor_name":"Respiratory Tract Infections","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D012141","descriptor_name":"Respiratory Tract Infections","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1186/s12911-024-02702-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-024-02702-0","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02702-0","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:39379946","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39379946","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11462891","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11462891","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11462891/pdf/12911_2024_Article_2702.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:bc4496c0b482406da57fbcd3677319ef","is_oa":true,"landing_page_url":"https://doaj.org/article/bc4496c0b482406da57fbcd3677319ef","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-16 (2024)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/28426655","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Forecasting_severe_respiratory_disease_hospitalizations_using_machine_learning_algorithms/28426655","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/733761970","is_oa":true,"landing_page_url":"https://hdl.handle.net/1885/733761970","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"Journal article"},{"id":"pmh:oai:researchspace.auckland.ac.nz:2292/72373","is_oa":true,"landing_page_url":"https://hdl.handle.net/2292/72373","pdf_url":null,"source":{"id":"https://openalex.org/S7407055463","display_name":"ResearchSpace (University of Auckland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I154130895","host_organization_name":"University of Auckland","host_organization_lineage":["https://openalex.org/I154130895"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1186/s12911-024-02702-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-024-02702-0","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02702-0","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403219367.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1977698057","https://openalex.org/W1979800398","https://openalex.org/W2021121846","https://openalex.org/W2029751786","https://openalex.org/W2051721266","https://openalex.org/W2130094219","https://openalex.org/W2136192534","https://openalex.org/W2162174678","https://openalex.org/W2262403220","https://openalex.org/W2263553584","https://openalex.org/W2529381635","https://openalex.org/W2556896982","https://openalex.org/W2610490986","https://openalex.org/W2613571630","https://openalex.org/W2747281206","https://openalex.org/W2807799907","https://openalex.org/W2953101261","https://openalex.org/W2980994438","https://openalex.org/W3017051018","https://openalex.org/W3039163263","https://openalex.org/W3042623101","https://openalex.org/W3092618727","https://openalex.org/W3093783147","https://openalex.org/W3094932786","https://openalex.org/W3171884590","https://openalex.org/W3172179230","https://openalex.org/W3194597946","https://openalex.org/W3198191819","https://openalex.org/W3202971245","https://openalex.org/W4200453770","https://openalex.org/W4205450360","https://openalex.org/W4206131499","https://openalex.org/W4206964129","https://openalex.org/W4226371285","https://openalex.org/W4283030009","https://openalex.org/W4283379274","https://openalex.org/W4385775067","https://openalex.org/W4388749216","https://openalex.org/W4391178140","https://openalex.org/W7074192579"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2049578243","https://openalex.org/W2000145235","https://openalex.org/W2122079181","https://openalex.org/W1985848810","https://openalex.org/W2889939530","https://openalex.org/W3121881699","https://openalex.org/W2748838164","https://openalex.org/W2066015000","https://openalex.org/W2912721996"],"abstract_inverted_index":{"BACKGROUND:":[0],"Forecasting":[1,53],"models":[2,54,86,219],"predicting":[3],"trends":[4],"in":[5,48,94,136,159,163,224,268],"hospitalization":[6,280],"rates":[7],"have":[8],"the":[9,22,58,65,82,89,109,119,138,195,233,237,244,261,269,322],"potential":[10,323],"to":[11,44,63,87,226,291,311,314],"inform":[12],"hospital":[13,28,92,134,316,334],"management":[14],"during":[15],"seasonal":[16,228],"epidemics":[17],"of":[18,60,67,84,91,121,171,194,208,235,240,247,271,324],"respiratory":[19,50,68,122,176,180,272],"diseases":[20],"and":[21,70,108,165,183,201,210,250,274,302],"associated":[23],"surges":[24],"caused":[25],"by":[26,294],"acute":[27],"admissions.":[29,52],"Hospital":[30],"bed":[31,317],"requirements":[32],"for":[33,128,174,329,332],"elective":[34],"surgery":[35],"could":[36,284],"be":[37,312],"better":[38],"planned":[39],"if":[40],"it":[41,287],"were":[42],"possible":[43,290],"foresee":[45],"upcoming":[46],"peaks":[47],"severe":[49],"illness":[51],"can":[55],"also":[56],"guide":[57],"use":[59],"intervention":[61],"strategies":[62,187],"decrease":[64],"spread":[66],"pathogens":[69],"thus":[71],"prevent":[72],"local":[73],"health":[74],"system":[75],"overload.":[76],"In":[77],"this":[78,129,276,296],"study,":[79],"we":[80,104,231],"explore":[81],"capability":[83],"forecasting":[85,186,253],"predict":[88,315],"number":[90],"admissions":[93],"Auckland,":[95],"New":[96],"Zealand,":[97],"within":[98],"a":[99,167],"three-week":[100],"time":[101,307],"horizon.":[102],"Furthermore,":[103,230],"evaluate":[105],"probabilistic":[106,252],"forecasts":[107,223,249,293],"impact":[110,234],"on":[111],"model":[112,245],"performance":[113],"when":[114],"integrating":[115,295],"laboratory":[116,169,262],"data":[117,263,304,310],"describing":[118],"circulation":[120],"viruses.":[123],"METHODS:":[124],"The":[125,185],"dataset":[126],"used":[127,188,260,313],"exploration":[130],"results":[131],"from":[132],"active":[133],"surveillance,":[135],"which":[137,242],"World":[139],"Health":[140],"Organization":[141],"Severe":[142],"Acute":[143],"Respiratory":[144],"Infection":[145],"(SARI)":[146],"case":[147],"definition":[148],"was":[149,288],"consistently":[150],"used.":[151],"This":[152],"research":[153],"nurse-led":[154],"surveillance":[155,301],"has":[156],"been":[157],"implemented":[158],"two":[160],"public":[161],"hospitals":[162],"Auckland":[164],"provides":[166],"systematic":[168],"testing":[170],"SARI":[172,300],"patients":[173],"nine":[175],"viruses,":[177],"including":[178],"influenza,":[179],"syncytial":[181],"virus,":[182],"rhinovirus.":[184],"comprise":[189],"automatic":[190],"machine":[191,217,325],"learning,":[192],"one":[193],"most":[196],"recent":[197],"generative":[198],"pre-trained":[199],"transformers,":[200],"established":[202],"artificial":[203],"neural":[204],"network":[205],"algorithms":[206],"capable":[207],"univariate":[209],"multivariate":[211],"forecasting.":[212],"RESULTS:":[213],"We":[214],"found":[215],"that":[216,259],"learning":[218,326],"compute":[220],"more":[221,254],"accurate":[222],"comparison":[225],"na\u00efve":[227],"models.":[229],"analyzed":[232],"reducing":[236],"temporal":[238],"resolution":[239],"forecasts,":[241],"decreased":[243],"error":[246],"point":[248],"made":[251],"reliable.":[255],"An":[256],"additional":[257],"analysis":[258],"revealed":[264],"strong":[265],"season-to-season":[266],"variations":[267,283],"incidence":[270],"viruses":[273],"how":[275],"correlates":[277],"with":[278],"total":[279],"cases.":[281],"These":[282,319],"explain":[285],"why":[286],"not":[289],"improve":[292],"data.":[297],"CONCLUSIONS:":[298],"Active":[299],"consistent":[303],"collection":[305],"over":[306],"enable":[308],"these":[309],"utilization.":[318],"findings":[320],"show":[321],"as":[327],"support":[328],"informing":[330],"systems":[331],"proactive":[333],"management.":[335]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":9}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
