{"id":"https://openalex.org/W4404268411","doi":"https://doi.org/10.1093/jamia/ocae278","title":"Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review","display_name":"Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review","publication_year":2024,"publication_date":"2024-11-12","ids":{"openalex":"https://openalex.org/W4404268411","doi":"https://doi.org/10.1093/jamia/ocae278","pmid":"https://pubmed.ncbi.nlm.nih.gov/39530740"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocae278","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocae278","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11648729/pdf/ocae278.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071756657","display_name":"Zidu Xu","orcid":"https://orcid.org/0000-0002-6122-8426"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zidu Xu","raw_affiliation_strings":["School of Nursing, Columbia University , New York, NY 10032,","School of Nursing, Columbia University, New York, NY 10032, United States"],"affiliations":[{"raw_affiliation_string":"School of Nursing, Columbia University , New York, NY 10032,","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"School of Nursing, Columbia University, New York, NY 10032, United States","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054624255","display_name":"Danielle Scharp","orcid":"https://orcid.org/0000-0002-3265-6667"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danielle Scharp","raw_affiliation_strings":["School of Nursing, Columbia University , New York, NY 10032,","School of Nursing, Columbia University, New York, NY 10032, United States"],"affiliations":[{"raw_affiliation_string":"School of Nursing, Columbia University , New York, NY 10032,","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"School of Nursing, Columbia University, New York, NY 10032, United States","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048487567","display_name":"Mollie Hobensack","orcid":"https://orcid.org/0000-0003-2852-4175"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mollie Hobensack","raw_affiliation_strings":["Icahn School of Medicine at Mount Sinai , New York, NY 10029,","Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States"],"affiliations":[{"raw_affiliation_string":"Icahn School of Medicine at Mount Sinai , New York, NY 10029,","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037782215","display_name":"Jiancheng Ye","orcid":"https://orcid.org/0000-0003-4143-8423"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiancheng Ye","raw_affiliation_strings":["Weill Cornell Medicine, Cornell University , New York, NY 10065,","Weill Cornell Medicine, Cornell University, New York, NY 10065, United States"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medicine, Cornell University , New York, NY 10065,","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Weill Cornell Medicine, Cornell University, New York, NY 10065, United States","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026740985","display_name":"Jungang Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jungang Zou","raw_affiliation_strings":["Department of Biostatistics, Mailman School of Public Health, Columbia University , New York, NY 10032,","Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, United States"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Mailman School of Public Health, Columbia University , New York, NY 10032,","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, United States","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057275545","display_name":"Sirui Ding","orcid":"https://orcid.org/0000-0001-5827-8214"},"institutions":[{"id":"https://openalex.org/I180670191","display_name":"University of California, San Francisco","ror":"https://ror.org/043mz5j54","country_code":"US","type":"education","lineage":["https://openalex.org/I180670191"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sirui Ding","raw_affiliation_strings":["Bakar Computational Health Sciences Institute, University of California , San Francisco, CA 94158,","Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94158, United States"],"affiliations":[{"raw_affiliation_string":"Bakar Computational Health Sciences Institute, University of California , San Francisco, CA 94158,","institution_ids":["https://openalex.org/I180670191"]},{"raw_affiliation_string":"Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94158, United States","institution_ids":["https://openalex.org/I180670191"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103063436","display_name":"Jingjing Shang","orcid":"https://orcid.org/0000-0003-1815-5556"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingjing Shang","raw_affiliation_strings":["School of Nursing, Columbia University , New York, NY 10032,","School of Nursing, Columbia University, New York, NY 10032, United States"],"affiliations":[{"raw_affiliation_string":"School of Nursing, Columbia University , New York, NY 10032,","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"School of Nursing, Columbia University, New York, NY 10032, United States","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021465135","display_name":"Maxim Topaz","orcid":"https://orcid.org/0000-0002-2358-9837"},"institutions":[{"id":"https://openalex.org/I1296865778","display_name":"VNS Health","ror":"https://ror.org/03kp8gv86","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1296865778"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maxim Topaz","raw_affiliation_strings":["Center for Home Care Policy & Research, VNS Health , New York, NY 10001,","Data Science Institute, Columbia University , New York, NY 10027,","School of Nursing, Columbia University , New York, NY 10032,","Center for Home Care Policy & Research, VNS Health, New York, NY 10001, United States","School of Nursing, Columbia University, New York, NY 10032, United States","Data Science Institute, Columbia University, New York, NY 10027, United States"],"affiliations":[{"raw_affiliation_string":"Center for Home Care Policy & Research, VNS Health , New York, NY 10001,","institution_ids":["https://openalex.org/I1296865778"]},{"raw_affiliation_string":"Data Science Institute, Columbia University , New York, NY 10027,","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"School of Nursing, Columbia University , New York, NY 10032,","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Center for Home Care Policy & Research, VNS Health, New York, NY 10001, United States","institution_ids":[]},{"raw_affiliation_string":"School of Nursing, Columbia University, New York, NY 10032, United States","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Data Science Institute, Columbia University, New York, NY 10027, United States","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5071756657"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18053097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"1","first_page":"241","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9966999888420105,"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":0.9886999726295471,"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/cinahl","display_name":"CINAHL","score":0.5998077392578125},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.5504169464111328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5481312274932861},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5273210406303406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5015003681182861},{"id":"https://openalex.org/keywords/checklist","display_name":"Checklist","score":0.48724427819252014},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.4720025062561035},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4591369926929474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4382014572620392},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.376750111579895},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16671115159988403},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.1283552646636963},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.10860830545425415}],"concepts":[{"id":"https://openalex.org/C2781145037","wikidata":"https://www.wikidata.org/wiki/Q5011772","display_name":"CINAHL","level":3,"score":0.5998077392578125},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.5504169464111328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5481312274932861},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5273210406303406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5015003681182861},{"id":"https://openalex.org/C2779356329","wikidata":"https://www.wikidata.org/wiki/Q922625","display_name":"Checklist","level":2,"score":0.48724427819252014},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.4720025062561035},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4591369926929474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4382014572620392},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.376750111579895},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16671115159988403},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.1283552646636963},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.10860830545425415},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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":"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":"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":"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":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019467","descriptor_name":"Subacute Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019467","descriptor_name":"Subacute Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019467","descriptor_name":"Subacute Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019467","descriptor_name":"Subacute Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019467","descriptor_name":"Subacute Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019467","descriptor_name":"Subacute Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019467","descriptor_name":"Subacute Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019467","descriptor_name":"Subacute Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1093/jamia/ocae278","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocae278","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:39530740","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39530740","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":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11648729","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11648729/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11648729/pdf/ocae278.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},{"id":"pmh:oai:europepmc.org:11410510","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11648729","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11648729","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11648729/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11648729/pdf/ocae278.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G176086933","display_name":null,"funder_award_id":"T32NR007969","funder_id":"https://openalex.org/F4320337353","funder_display_name":"National Institute of Nursing Research"},{"id":"https://openalex.org/G1870715221","display_name":null,"funder_award_id":"NR007969","funder_id":"https://openalex.org/F4320337353","funder_display_name":"National Institute of Nursing Research"},{"id":"https://openalex.org/G2063323661","display_name":null,"funder_award_id":"R01NR016865","funder_id":"https://openalex.org/F4320337353","funder_display_name":"National Institute of Nursing Research"},{"id":"https://openalex.org/G5487772910","display_name":null,"funder_award_id":"R01 HS028637","funder_id":"https://openalex.org/F4320332177","funder_display_name":"Agency for Healthcare Research and Quality"},{"id":"https://openalex.org/G7789746563","display_name":null,"funder_award_id":"2R01NR016865","funder_id":"https://openalex.org/F4320337353","funder_display_name":"National Institute of Nursing Research"},{"id":"https://openalex.org/G784951568","display_name":null,"funder_award_id":"R01NR016865","funder_id":"https://openalex.org/F4320332177","funder_display_name":"Agency for Healthcare Research and Quality"},{"id":"https://openalex.org/G7944189664","display_name":null,"funder_award_id":"R01 HS027742","funder_id":"https://openalex.org/F4320332177","funder_display_name":"Agency for Healthcare Research and Quality"}],"funders":[{"id":"https://openalex.org/F4320332177","display_name":"Agency for Healthcare Research and Quality","ror":"https://ror.org/03jmfdf59"},{"id":"https://openalex.org/F4320337353","display_name":"National Institute of Nursing Research","ror":"https://ror.org/01y3zfr79"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404268411.pdf"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W2011520990","https://openalex.org/W2042575106","https://openalex.org/W2050336499","https://openalex.org/W2053297661","https://openalex.org/W2068264290","https://openalex.org/W2077663753","https://openalex.org/W2113945548","https://openalex.org/W2119123819","https://openalex.org/W2137514665","https://openalex.org/W2146080983","https://openalex.org/W2151952046","https://openalex.org/W2157365260","https://openalex.org/W2164968232","https://openalex.org/W2202756526","https://openalex.org/W2270053514","https://openalex.org/W2440161904","https://openalex.org/W2471940872","https://openalex.org/W2496911238","https://openalex.org/W2542948012","https://openalex.org/W2738252449","https://openalex.org/W2746326048","https://openalex.org/W2753919178","https://openalex.org/W2760946358","https://openalex.org/W2765385887","https://openalex.org/W2797883881","https://openalex.org/W2807449481","https://openalex.org/W2888171911","https://openalex.org/W2900945186","https://openalex.org/W2907554860","https://openalex.org/W2907638671","https://openalex.org/W2909451643","https://openalex.org/W2921227167","https://openalex.org/W2928673187","https://openalex.org/W2946033807","https://openalex.org/W2953820000","https://openalex.org/W2962862931","https://openalex.org/W2965782433","https://openalex.org/W3004306641","https://openalex.org/W3010521003","https://openalex.org/W3024173558","https://openalex.org/W3030460584","https://openalex.org/W3032714128","https://openalex.org/W3089168043","https://openalex.org/W3090415180","https://openalex.org/W3094595351","https://openalex.org/W3097911410","https://openalex.org/W3111402128","https://openalex.org/W3118615836","https://openalex.org/W3120714071","https://openalex.org/W3124926562","https://openalex.org/W3174961866","https://openalex.org/W3179350541","https://openalex.org/W3183421885","https://openalex.org/W3184865800","https://openalex.org/W3194383822","https://openalex.org/W3202375701","https://openalex.org/W3213000679","https://openalex.org/W3214514486","https://openalex.org/W4200334578","https://openalex.org/W4200387103","https://openalex.org/W4205368922","https://openalex.org/W4206486709","https://openalex.org/W4207046662","https://openalex.org/W4232704105","https://openalex.org/W4280535238","https://openalex.org/W4283749111","https://openalex.org/W4307539314","https://openalex.org/W4308885870","https://openalex.org/W4309944697","https://openalex.org/W4310788032","https://openalex.org/W4318464903","https://openalex.org/W4379744301","https://openalex.org/W4384563047","https://openalex.org/W4386153521","https://openalex.org/W4387772207","https://openalex.org/W4388922522","https://openalex.org/W4390699866","https://openalex.org/W6681490607","https://openalex.org/W6737947904"],"related_works":["https://openalex.org/W4234875088","https://openalex.org/W2013796470","https://openalex.org/W2420514274","https://openalex.org/W2001467811","https://openalex.org/W4362687946","https://openalex.org/W1971633942","https://openalex.org/W2902805979","https://openalex.org/W2032835247","https://openalex.org/W3012581912","https://openalex.org/W2113781262"],"abstract_inverted_index":{"Despite":[0],"the":[1],"growth":[2],"of":[3],"advanced":[4],"modeling":[5],"approaches":[6],"in":[7,10,40],"infection-related":[8],"models":[9],"PAC":[11],"settings,":[12],"evidence":[13],"supporting":[14],"their":[15],"superiority":[16],"remains":[17],"limited.":[18],"Future":[19],"research":[20],"should":[21],"leverage":[22],"a":[23],"socio-ecological":[24],"lens":[25],"for":[26],"predictor":[27],"selection":[28],"and":[29,36,46],"model":[30,38],"construction,":[31],"exploring":[32],"optimal":[33],"data":[34],"modalities":[35],"ML":[37],"usage":[39],"PAC,":[41],"while":[42],"ensuring":[43],"rigorous":[44],"methodologies":[45],"fairness":[47],"considerations.":[48]},"counts_by_year":[],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
