{"id":"https://openalex.org/W3020792346","doi":"https://doi.org/10.1007/s11517-020-02165-1","title":"A machine learning model for predicting risk of hospital readmission within 30\u00a0days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model","display_name":"A machine learning model for predicting risk of hospital readmission within 30\u00a0days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W3020792346","doi":"https://doi.org/10.1007/s11517-020-02165-1","mag":"3020792346","pmid":"https://pubmed.ncbi.nlm.nih.gov/32328883"},"language":"en","primary_location":{"id":"doi:10.1007/s11517-020-02165-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11517-020-02165-1","pdf_url":null,"source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical &amp; Biological Engineering &amp; Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032343123","display_name":"Mirza Mansoor Baig","orcid":"https://orcid.org/0000-0002-7431-6193"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mirza Mansoor Baig","raw_affiliation_strings":["Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand. mirzamansoor01@gmail.com","Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand. mirzamansoor01@gmail.com","institution_ids":[]},{"raw_affiliation_string":"Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039036855","display_name":"Ning Hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Hua","raw_affiliation_strings":["Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051809190","display_name":"Edmond Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Edmond Zhang","raw_affiliation_strings":["Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069113222","display_name":"R. R. Rejimol Robinson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reece Robinson","raw_affiliation_strings":["Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053286631","display_name":"Anna Spyker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna Spyker","raw_affiliation_strings":["Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Data Science Team, Orion Health, 181, Grafton Road, Grafton, Auckland, New Zealand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033989332","display_name":"Delwyn Armstrong","orcid":null},"institutions":[{"id":"https://openalex.org/I2802108709","display_name":"North Shore Hospital","ror":"https://ror.org/03yvcww04","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2802108709","https://openalex.org/I4405259026"]},{"id":"https://openalex.org/I4210100373","display_name":"Waitemata District Health Board","ror":"https://ror.org/0113yba25","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I4210100373"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Delwyn Armstrong","raw_affiliation_strings":["Clinical Research Team, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Clinical Research Team, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand","institution_ids":["https://openalex.org/I2802108709","https://openalex.org/I4210100373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002682063","display_name":"Robyn Whittaker","orcid":"https://orcid.org/0000-0003-0901-9149"},"institutions":[{"id":"https://openalex.org/I4210100373","display_name":"Waitemata District Health Board","ror":"https://ror.org/0113yba25","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I4210100373"]},{"id":"https://openalex.org/I2802108709","display_name":"North Shore Hospital","ror":"https://ror.org/03yvcww04","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2802108709","https://openalex.org/I4405259026"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Robyn Whittaker","raw_affiliation_strings":["Clinical Research Team, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Clinical Research Team, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand","institution_ids":["https://openalex.org/I2802108709","https://openalex.org/I4210100373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028209731","display_name":"Tom Robinson","orcid":null},"institutions":[{"id":"https://openalex.org/I2802108709","display_name":"North Shore Hospital","ror":"https://ror.org/03yvcww04","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2802108709","https://openalex.org/I4405259026"]},{"id":"https://openalex.org/I4210100373","display_name":"Waitemata District Health Board","ror":"https://ror.org/0113yba25","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I4210100373"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Tom Robinson","raw_affiliation_strings":["Clinical Research Team, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Clinical Research Team, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand","institution_ids":["https://openalex.org/I2802108709","https://openalex.org/I4210100373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089902375","display_name":"Ehsan Ullah","orcid":"https://orcid.org/0000-0002-9881-6731"},"institutions":[{"id":"https://openalex.org/I4210114327","display_name":"Auckland District Health Board","ror":"https://ror.org/02gkb4040","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I4210114327"]},{"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":"Ehsan Ullah","raw_affiliation_strings":["Clinical Quality & Safety Service, Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Clinical Quality & Safety Service, Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand","institution_ids":["https://openalex.org/I2801418622","https://openalex.org/I4210114327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5032343123"],"corresponding_institution_ids":[],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":null,"fwci":1.3443,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82668301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"58","issue":"7","first_page":"1459","last_page":"1466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10198","display_name":"Heart Failure Treatment and Management","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10198","display_name":"Heart Failure Treatment and Management","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9883999824523926,"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/T11095","display_name":"Emergency and Acute Care Studies","score":0.9840999841690063,"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/medicine","display_name":"Medicine","score":0.627842903137207},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6246964931488037},{"id":"https://openalex.org/keywords/hospital-readmission","display_name":"Hospital readmission","score":0.616033673286438},{"id":"https://openalex.org/keywords/predictive-value","display_name":"Predictive value","score":0.5838888883590698},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5405247807502747},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.4921998083591461},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4702160656452179},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.45535069704055786},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4496036171913147},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.4368564188480377},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4332123100757599},{"id":"https://openalex.org/keywords/framingham-risk-score","display_name":"Framingham Risk Score","score":0.41167575120925903},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39252692461013794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37968045473098755},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.25714391469955444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21178627014160156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.194080650806427},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12683048844337463}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.627842903137207},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6246964931488037},{"id":"https://openalex.org/C2776644030","wikidata":"https://www.wikidata.org/wiki/Q25324519","display_name":"Hospital readmission","level":2,"score":0.616033673286438},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.5838888883590698},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5405247807502747},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.4921998083591461},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4702160656452179},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.45535069704055786},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4496036171913147},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.4368564188480377},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4332123100757599},{"id":"https://openalex.org/C11783203","wikidata":"https://www.wikidata.org/wiki/Q5478027","display_name":"Framingham Risk Score","level":3,"score":0.41167575120925903},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39252692461013794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37968045473098755},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.25714391469955444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21178627014160156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.194080650806427},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12683048844337463},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"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":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D010351","descriptor_name":"Patient Discharge","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010351","descriptor_name":"Patient Discharge","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010351","descriptor_name":"Patient Discharge","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010359","descriptor_name":"Patient Readmission","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D010359","descriptor_name":"Patient Readmission","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D010359","descriptor_name":"Patient Readmission","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1007/s11517-020-02165-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11517-020-02165-1","pdf_url":null,"source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical &amp; Biological Engineering &amp; Computing","raw_type":"journal-article"},{"id":"pmid:32328883","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32328883","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":"Medical & biological engineering & computing","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W149361768","https://openalex.org/W1521368358","https://openalex.org/W1590340948","https://openalex.org/W1973793901","https://openalex.org/W1978575887","https://openalex.org/W1980952910","https://openalex.org/W1988790447","https://openalex.org/W2044214582","https://openalex.org/W2070797946","https://openalex.org/W2074123498","https://openalex.org/W2086923543","https://openalex.org/W2129997990","https://openalex.org/W2163915185","https://openalex.org/W2165438455","https://openalex.org/W2168334156","https://openalex.org/W2295598076","https://openalex.org/W2337489893","https://openalex.org/W2340460378","https://openalex.org/W2412187680","https://openalex.org/W2416476861","https://openalex.org/W2436262662","https://openalex.org/W2764251313","https://openalex.org/W2766134894","https://openalex.org/W2781551130","https://openalex.org/W2784499877","https://openalex.org/W2791119488","https://openalex.org/W2911964244","https://openalex.org/W3098949126","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W1531601525","https://openalex.org/W3039673966","https://openalex.org/W4293699968","https://openalex.org/W2002351707","https://openalex.org/W2035096001"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
