{"id":"https://openalex.org/W2395172628","doi":"https://doi.org/10.1093/jamia/ocw042","title":"Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review","display_name":"Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review","publication_year":2016,"publication_date":"2016-05-17","ids":{"openalex":"https://openalex.org/W2395172628","doi":"https://doi.org/10.1093/jamia/ocw042","mag":"2395172628","pmid":"https://pubmed.ncbi.nlm.nih.gov/27189013"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocw042","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocw042","pdf_url":"https://academic.oup.com/jamia/article-pdf/24/1/198/8765500/ocw042.pdf","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":"bronze","oa_url":"https://academic.oup.com/jamia/article-pdf/24/1/198/8765500/ocw042.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067727757","display_name":"Benjamin A. Goldstein","orcid":"https://orcid.org/0000-0001-5261-3632"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I4210088741","display_name":"Clinical Research Institute","ror":"https://ror.org/009ywjj88","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210088741"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin A Goldstein","raw_affiliation_strings":["Center for Predictive Medicine, Duke Clinical Research Institute, Duke University, Durham, NC 27710, USA","Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27710, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Predictive Medicine, Duke Clinical Research Institute, Duke University, Durham, NC 27710, USA","institution_ids":["https://openalex.org/I170897317","https://openalex.org/I4210088741"]},{"raw_affiliation_string":"Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27710, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048673551","display_name":"Ann Marie N\u00e1var","orcid":"https://orcid.org/0000-0002-6197-9860"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I4210088741","display_name":"Clinical Research Institute","ror":"https://ror.org/009ywjj88","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210088741"]},{"id":"https://openalex.org/I4210126298","display_name":"Duke Medical Center","ror":"https://ror.org/03njmea73","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210126298","https://openalex.org/I4210144876"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ann Marie Navar","raw_affiliation_strings":["Center for Predictive Medicine, Duke Clinical Research Institute, Duke University, Durham, NC 27710, USA","Division of Cardiology at Duke University Medical Center, Duhram, NC 27710, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Predictive Medicine, Duke Clinical Research Institute, Duke University, Durham, NC 27710, USA","institution_ids":["https://openalex.org/I170897317","https://openalex.org/I4210088741"]},{"raw_affiliation_string":"Division of Cardiology at Duke University Medical Center, Duhram, NC 27710, USA","institution_ids":["https://openalex.org/I4210126298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064002558","display_name":"Michael Pencina","orcid":"https://orcid.org/0000-0002-1968-2641"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I4210088741","display_name":"Clinical Research Institute","ror":"https://ror.org/009ywjj88","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210088741"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J Pencina","raw_affiliation_strings":["Center for Predictive Medicine, Duke Clinical Research Institute, Duke University, Durham, NC 27710, USA","Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27710, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Predictive Medicine, Duke Clinical Research Institute, Duke University, Durham, NC 27710, USA","institution_ids":["https://openalex.org/I170897317","https://openalex.org/I4210088741"]},{"raw_affiliation_string":"Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27710, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070446713","display_name":"John P. A. Ioannidis","orcid":"https://orcid.org/0000-0003-3118-6859"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John P A Ioannidis","raw_affiliation_strings":["Department of Health Research and Policy, and Statistics and Meta-Research Innovation Center at Stanford, Stanford University, Palo Alto, CA 94305, USA","Department of Medicine, Stanford University, Palo Alto, CA 94305, USA,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Research and Policy, and Statistics and Meta-Research Innovation Center at Stanford, Stanford University, Palo Alto, CA 94305, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Medicine, Stanford University, Palo Alto, CA 94305, USA,","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":74.9225,"has_fulltext":true,"cited_by_count":938,"citation_normalized_percentile":{"value":0.99907534,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"198","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7918999791145325,"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":0.7918999791145325,"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":0.0575999990105629,"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/T10350","display_name":"Electronic Health Records Systems","score":0.04690000042319298,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.6150234937667847},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.580748438835144},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5760610699653625},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.5423875451087952},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.5381731390953064},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5350761413574219},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5139217376708984},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5012271404266357},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.4259617328643799},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35397738218307495},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34134191274642944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3204033374786377},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2457006573677063},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.24345725774765015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13810142874717712}],"concepts":[{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.6150234937667847},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.580748438835144},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5760610699653625},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.5423875451087952},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.5381731390953064},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5350761413574219},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5139217376708984},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5012271404266357},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.4259617328643799},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35397738218307495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34134191274642944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3204033374786377},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2457006573677063},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.24345725774765015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13810142874717712},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"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":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","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":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","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":true}],"locations_count":4,"locations":[{"id":"doi:10.1093/jamia/ocw042","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocw042","pdf_url":"https://academic.oup.com/jamia/article-pdf/24/1/198/8765500/ocw042.pdf","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:27189013","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27189013","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:open-archive.highwire.org:jaminfo:24/1/198","is_oa":false,"landing_page_url":"http://jamia.oxfordjournals.org/cgi/content/short/24/1/198","pdf_url":null,"source":{"id":"https://openalex.org/S4406923041","display_name":"HighWire Press Open Archive","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"TEXT"},{"id":"pmh:oai:pubmedcentral.nih.gov:5201180","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5201180","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/jamia/ocw042","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocw042","pdf_url":"https://academic.oup.com/jamia/article-pdf/24/1/198/8765500/ocw042.pdf","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"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G1466155994","display_name":null,"funder_award_id":"K25DK097279","funder_id":"https://openalex.org/F4320337357","funder_display_name":"National Institute of Diabetes and Digestive and Kidney Diseases"},{"id":"https://openalex.org/G7729786558","display_name":null,"funder_award_id":"K25 DK097279","funder_id":"https://openalex.org/F4320337357","funder_display_name":"National Institute of Diabetes and Digestive and Kidney Diseases"}],"funders":[{"id":"https://openalex.org/F4320337357","display_name":"National Institute of Diabetes and Digestive and Kidney Diseases","ror":"https://ror.org/00adh9b73"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2395172628.pdf","grobid_xml":"https://content.openalex.org/works/W2395172628.grobid-xml"},"referenced_works_count":157,"referenced_works":["https://openalex.org/W30705845","https://openalex.org/W95950258","https://openalex.org/W129507607","https://openalex.org/W174799281","https://openalex.org/W177267690","https://openalex.org/W1532630014","https://openalex.org/W1540597656","https://openalex.org/W1784956005","https://openalex.org/W1826488424","https://openalex.org/W1866881459","https://openalex.org/W1947718141","https://openalex.org/W1956509155","https://openalex.org/W1965522545","https://openalex.org/W1967021867","https://openalex.org/W1968633584","https://openalex.org/W1968927853","https://openalex.org/W1969172134","https://openalex.org/W1975075489","https://openalex.org/W1975509525","https://openalex.org/W1983347724","https://openalex.org/W1984244683","https://openalex.org/W1988375742","https://openalex.org/W1988582819","https://openalex.org/W1993676606","https://openalex.org/W1993807642","https://openalex.org/W1994682257","https://openalex.org/W1998158176","https://openalex.org/W1999541429","https://openalex.org/W2006940889","https://openalex.org/W2008171497","https://openalex.org/W2010649797","https://openalex.org/W2012451988","https://openalex.org/W2013771610","https://openalex.org/W2013872126","https://openalex.org/W2015211126","https://openalex.org/W2015929254","https://openalex.org/W2017531614","https://openalex.org/W2019982728","https://openalex.org/W2020872414","https://openalex.org/W2021390558","https://openalex.org/W2022169345","https://openalex.org/W2023015132","https://openalex.org/W2025062108","https://openalex.org/W2027716997","https://openalex.org/W2027867013","https://openalex.org/W2028048791","https://openalex.org/W2039265044","https://openalex.org/W2039319538","https://openalex.org/W2039855493","https://openalex.org/W2050837299","https://openalex.org/W2051359647","https://openalex.org/W2052054164","https://openalex.org/W2053328848","https://openalex.org/W2055749619","https://openalex.org/W2056102627","https://openalex.org/W2057388746","https://openalex.org/W2057443209","https://openalex.org/W2062777533","https://openalex.org/W2066510964","https://openalex.org/W2070451184","https://openalex.org/W2070628531","https://openalex.org/W2072626066","https://openalex.org/W2072771627","https://openalex.org/W2074783174","https://openalex.org/W2077360262","https://openalex.org/W2077539088","https://openalex.org/W2078317138","https://openalex.org/W2080344756","https://openalex.org/W2080906527","https://openalex.org/W2089037908","https://openalex.org/W2089996629","https://openalex.org/W2090051863","https://openalex.org/W2090911210","https://openalex.org/W2091263333","https://openalex.org/W2092788745","https://openalex.org/W2094382136","https://openalex.org/W2095987352","https://openalex.org/W2096978103","https://openalex.org/W2099149358","https://openalex.org/W2100220027","https://openalex.org/W2100534956","https://openalex.org/W2101134120","https://openalex.org/W2101998069","https://openalex.org/W2102171609","https://openalex.org/W2103742358","https://openalex.org/W2104345271","https://openalex.org/W2105575181","https://openalex.org/W2109347377","https://openalex.org/W2110497525","https://openalex.org/W2114157572","https://openalex.org/W2120729630","https://openalex.org/W2120981099","https://openalex.org/W2121018841","https://openalex.org/W2121593241","https://openalex.org/W2121815876","https://openalex.org/W2122313152","https://openalex.org/W2123409929","https://openalex.org/W2129043976","https://openalex.org/W2129092701","https://openalex.org/W2130644475","https://openalex.org/W2130647897","https://openalex.org/W2132137210","https://openalex.org/W2132755184","https://openalex.org/W2135620863","https://openalex.org/W2135981299","https://openalex.org/W2137767404","https://openalex.org/W2141063967","https://openalex.org/W2142415878","https://openalex.org/W2147728537","https://openalex.org/W2149008473","https://openalex.org/W2149057497","https://openalex.org/W2150014095","https://openalex.org/W2150577673","https://openalex.org/W2151526913","https://openalex.org/W2151868700","https://openalex.org/W2158810997","https://openalex.org/W2159817537","https://openalex.org/W2164146524","https://openalex.org/W2165884492","https://openalex.org/W2171038270","https://openalex.org/W2171231355","https://openalex.org/W2171899807","https://openalex.org/W2172206840","https://openalex.org/W2227098102","https://openalex.org/W2230597900","https://openalex.org/W2320011666","https://openalex.org/W2323837529","https://openalex.org/W2324406228","https://openalex.org/W2324866533","https://openalex.org/W2325533191","https://openalex.org/W2330243844","https://openalex.org/W2414932357","https://openalex.org/W2555058594","https://openalex.org/W2576440140","https://openalex.org/W2588681363","https://openalex.org/W3022903699","https://openalex.org/W3143700318","https://openalex.org/W4239573467","https://openalex.org/W4241281268","https://openalex.org/W4243675800","https://openalex.org/W4255923576","https://openalex.org/W6601212410","https://openalex.org/W6603890535","https://openalex.org/W6605252013","https://openalex.org/W6607301471","https://openalex.org/W6631785008","https://openalex.org/W6638163375","https://openalex.org/W6640562004","https://openalex.org/W6642748292","https://openalex.org/W6643712371","https://openalex.org/W6650251245","https://openalex.org/W6653736120","https://openalex.org/W6657576633","https://openalex.org/W6669731863","https://openalex.org/W6669873072","https://openalex.org/W6675814373","https://openalex.org/W6729585755"],"related_works":["https://openalex.org/W187932805","https://openalex.org/W2909369938","https://openalex.org/W4392490004","https://openalex.org/W1641026212","https://openalex.org/W4402738807","https://openalex.org/W2911982698","https://openalex.org/W2323588885","https://openalex.org/W3047677938","https://openalex.org/W2087134418","https://openalex.org/W2078646730"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Electronic":[1],"health":[2],"records":[3],"(EHRs)":[4],"are":[5],"an":[6,58],"increasingly":[7],"common":[8],"data":[9,199,203,227],"source":[10],"for":[11,50,137,210,233,240],"clinical":[12,40,216,234],"risk":[13,32,63,235],"prediction,":[14],"presenting":[15],"both":[16,229],"unique":[17],"analytic":[18],"opportunities":[19,230],"and":[20,76,89,94,117,133,162,183,221,231],"challenges.":[21],"We":[22,47,98],"sought":[23],"to":[24,60,68,206],"evaluate":[25],"the":[26,55,148,176],"current":[27],"state":[28],"of":[29,39,57,84,122,131,150,175,197],"EHR":[30,44,59,85,151,198,226],"based":[31],"prediction":[33,41,64,217],"modeling":[34],"through":[35],"a":[36,62,119],"systematic":[37],"review":[38],"studies":[42,143,177,191],"using":[43],"data.":[45],"METHODS:":[46],"searched":[48],"PubMed":[49],"articles":[51,101],"that":[52],"reported":[53,134],"on":[54,80],"use":[56,83],"develop":[61],"model":[65,87,135],"from":[66,91,102],"2009":[67],"2014.":[69],"Articles":[70],"were":[71,107,178],"extracted":[72],"by":[73],"two":[74],"reviewers,":[75],"we":[77],"abstracted":[78],"information":[79,158],"study":[81],"design,":[82],"data,":[86,152],"building,":[88],"performance":[90],"each":[92],"publication":[93],"supplementary":[95],"documentation.":[96],"RESULTS:":[97],"identified":[99],"107":[100],"15":[103],"different":[104,211],"countries.":[105],"Studies":[106],"generally":[108],"very":[109],"large":[110],"(median":[111,168],"sample":[112],"size":[113],"=":[114,129,140,160,169,181],"26":[115,185],"100)":[116],"utilized":[118],"diverse":[120],"array":[121],"predictors.":[123],"Most":[124],"used":[125,156],"validation":[126,187],"techniques":[127],"(n":[128,139,159,180],"94":[130],"107)":[132],"coefficients":[136],"reproducibility":[138],"83).":[141],"However,":[142],"did":[144,192],"not":[145,193],"fully":[146,194],"leverage":[147],"breadth":[149],"as":[153,201],"they":[154],"uncommonly":[155],"longitudinal":[157],"37)":[161],"employed":[163],"relatively":[164],"few":[165],"predictor":[166],"variables":[167],"27":[170],"variables).":[171],"Less":[172],"than":[173],"half":[174],"multicenter":[179],"50)":[182],"only":[184],"performed":[186],"across":[188],"sites.":[189],"Many":[190],"address":[195],"biases":[196],"such":[200,244],"missing":[202],"or":[204],"loss":[205],"follow-up.":[207],"Average":[208],"c-statistics":[209],"outcomes":[212],"were:":[213],"mortality":[214],"(0.84),":[215],"(0.83),":[218],"hospitalization":[219],"(0.71),":[220],"service":[222],"utilization":[223],"(0.71).":[224],"CONCLUSIONS:":[225],"present":[228],"challenges":[232],"prediction.":[236],"There":[237],"is":[238],"room":[239],"improvement":[241],"in":[242],"designing":[243],"studies.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":69},{"year":2025,"cited_by_count":116},{"year":2024,"cited_by_count":109},{"year":2023,"cited_by_count":103},{"year":2022,"cited_by_count":114},{"year":2021,"cited_by_count":138},{"year":2020,"cited_by_count":115},{"year":2019,"cited_by_count":83},{"year":2018,"cited_by_count":64},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-11T18:08:03.149640","created_date":"2025-10-10T00:00:00"}
