{"id":"https://openalex.org/W2625625371","doi":"https://doi.org/10.1109/jbhi.2017.2767063","title":"Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis","display_name":"Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis","publication_year":2017,"publication_date":"2017-10-27","ids":{"openalex":"https://openalex.org/W2625625371","doi":"https://doi.org/10.1109/jbhi.2017.2767063","mag":"2625625371","pmid":"https://pubmed.ncbi.nlm.nih.gov/29989977"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2017.2767063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2017.2767063","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.03446","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019504069","display_name":"Benjamin Shickel","orcid":"https://orcid.org/0000-0002-5304-7027"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Shickel","raw_affiliation_strings":["Department of Computer and Information Science, University of Florida, Gainesville, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-5304-7027","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084386025","display_name":"Patrick Tighe","orcid":"https://orcid.org/0000-0002-1881-9941"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick James Tighe","raw_affiliation_strings":["Department of Anesthesiology, College of Medicine, University of Florida, Gainesville, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-1881-9941","affiliations":[{"raw_affiliation_string":"Department of Anesthesiology, College of Medicine, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016909804","display_name":"Azra Bihorac","orcid":"https://orcid.org/0000-0002-5745-2863"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azra Bihorac","raw_affiliation_strings":["Department of Nephrology, College of Medicine, University of Florida, Gainesville, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-5745-2863","affiliations":[{"raw_affiliation_string":"Department of Nephrology, College of Medicine, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007040136","display_name":"Parisa Rashidi","orcid":"https://orcid.org/0000-0003-4530-2048"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parisa Rashidi","raw_affiliation_strings":["J. Crayton Pruitt Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"J. Crayton Pruitt Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":92.9514,"has_fulltext":false,"cited_by_count":1653,"citation_normalized_percentile":{"value":0.99945457,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"22","issue":"5","first_page":"1589","last_page":"1604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998999834060669,"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":0.9998999834060669,"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/T10350","display_name":"Electronic Health Records Systems","score":0.9878000020980835,"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"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6861470341682434},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.6650919914245605},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.6340019702911377},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6300789713859558},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.6255109310150146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6177599430084229},{"id":"https://openalex.org/keywords/informatics","display_name":"Informatics","score":0.594734251499176},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.44038018584251404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3838569223880768},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08509752154350281}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6861470341682434},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.6650919914245605},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.6340019702911377},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6300789713859558},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.6255109310150146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6177599430084229},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.594734251499176},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.44038018584251404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3838569223880768},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08509752154350281},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep 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":"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},{"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:10.1109/jbhi.2017.2767063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2017.2767063","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:29989977","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29989977","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":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:arXiv.org:1706.03446","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.03446","pdf_url":"https://arxiv.org/pdf/1706.03446","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},{"id":"pmh:oai:europepmc.org:5674137","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6043423","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:arXiv.org:1706.03446","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.03446","pdf_url":"https://arxiv.org/pdf/1706.03446","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G19436128","display_name":null,"funder_award_id":"P30 AG028740","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G2594563642","display_name":null,"funder_award_id":"R01 GM-110240","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G599282028","display_name":null,"funder_award_id":"1631871","funder_id":"https://openalex.org/F4320337396","funder_display_name":"Division of Industrial Innovation and Partnerships"},{"id":"https://openalex.org/G7535237384","display_name":null,"funder_award_id":"1R01GM114290","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G7903716842","display_name":null,"funder_award_id":"R01GM114290","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337396","display_name":"Division of Industrial Innovation and Partnerships","ror":"https://ror.org/03xyg3m20"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W115293911","https://openalex.org/W1005811612","https://openalex.org/W1503398984","https://openalex.org/W1614298861","https://openalex.org/W1934084512","https://openalex.org/W1948745668","https://openalex.org/W1973825638","https://openalex.org/W1990652932","https://openalex.org/W2004910511","https://openalex.org/W2013787102","https://openalex.org/W2025768430","https://openalex.org/W2027106132","https://openalex.org/W2042954874","https://openalex.org/W2043660051","https://openalex.org/W2057443209","https://openalex.org/W2060947741","https://openalex.org/W2107435951","https://openalex.org/W2114388055","https://openalex.org/W2125674401","https://openalex.org/W2128124510","https://openalex.org/W2141395532","https://openalex.org/W2161336914","https://openalex.org/W2187089797","https://openalex.org/W2191167248","https://openalex.org/W2250618585","https://openalex.org/W2255847468","https://openalex.org/W2259469853","https://openalex.org/W2284851926","https://openalex.org/W2293197871","https://openalex.org/W2293272996","https://openalex.org/W2330126143","https://openalex.org/W2345088727","https://openalex.org/W2396881363","https://openalex.org/W2398489001","https://openalex.org/W2404901863","https://openalex.org/W2411563882","https://openalex.org/W2468314684","https://openalex.org/W2469314752","https://openalex.org/W2481271618","https://openalex.org/W2488984245","https://openalex.org/W2502949459","https://openalex.org/W2511950764","https://openalex.org/W2514071032","https://openalex.org/W2514798530","https://openalex.org/W2518582440","https://openalex.org/W2533800772","https://openalex.org/W2534858547","https://openalex.org/W2561981131","https://openalex.org/W2604465921","https://openalex.org/W2621053657","https://openalex.org/W2786839164","https://openalex.org/W2916491205","https://openalex.org/W2922174756","https://openalex.org/W2950562763","https://openalex.org/W2951345965","https://openalex.org/W2963078493","https://openalex.org/W2963618814","https://openalex.org/W2963637781","https://openalex.org/W2963956191","https://openalex.org/W2964006392","https://openalex.org/W2964010366","https://openalex.org/W2964120912","https://openalex.org/W2985962305","https://openalex.org/W3100271366","https://openalex.org/W4210311545","https://openalex.org/W6604735148","https://openalex.org/W6626177569","https://openalex.org/W6636510571","https://openalex.org/W6640764873","https://openalex.org/W6680930200","https://openalex.org/W6680967825","https://openalex.org/W6685812147","https://openalex.org/W6687413744","https://openalex.org/W6691697006","https://openalex.org/W6692707676","https://openalex.org/W6696544798","https://openalex.org/W6697058068","https://openalex.org/W6712207982","https://openalex.org/W6715055779","https://openalex.org/W6720266513","https://openalex.org/W6725993513","https://openalex.org/W6739001092"],"related_works":["https://openalex.org/W187932805","https://openalex.org/W2397677514","https://openalex.org/W2914293784","https://openalex.org/W2407382301","https://openalex.org/W1495820741","https://openalex.org/W4323056170","https://openalex.org/W2126732312","https://openalex.org/W2000841861","https://openalex.org/W2401910071","https://openalex.org/W2909369938"],"abstract_inverted_index":{"The":[0],"past":[1],"decade":[2],"has":[3,55],"seen":[4,56],"an":[5],"explosion":[6],"in":[7,14,59],"the":[8,48,51,60,70,137,140],"amount":[9],"of":[10,39,62,89,100,117,130,139,145],"digital":[11],"information":[12,25,104],"stored":[13],"electronic":[15],"health":[16],"records":[17,41],"(EHRs).":[18],"While":[19],"primarily":[20],"designed":[21],"for":[22,42],"archiving":[23],"patient":[24],"and":[26,93,111,128,142],"performing":[27],"administrative":[28],"healthcare":[29],"tasks":[30,79],"like":[31],"billing,":[32],"many":[33],"researchers":[34],"have":[35],"found":[36],"secondary":[37],"use":[38],"these":[40],"various":[43],"clinical":[44,78,101],"informatics":[45],"applications.":[46],"Over":[47],"same":[49],"period,":[50],"machine":[52],"learning":[53,76,91],"community":[54],"widespread":[57],"advances":[58],"field":[61,141],"deep":[63,75,90,147],"learning.":[64],"In":[65],"this":[66],"review,":[67],"we":[68,85],"survey":[69],"current":[71,118],"research":[72,119],"on":[73,81],"applying":[74],"to":[77,97],"based":[80],"EHR":[82,148],"data,":[83],"where":[84],"find":[86],"a":[87],"variety":[88],"techniques":[92],"frameworks":[94],"being":[95],"applied":[96],"several":[98,115],"types":[99],"applications":[102],"including":[103],"extraction,":[105],"representation":[106],"learning,":[107],"outcome":[108],"prediction,":[109],"phenotyping,":[110],"deidentification.":[112],"We":[113,133],"identify":[114],"limitations":[116],"involving":[120],"topics":[121],"such":[122],"as":[123],"model":[124],"interpretability,":[125],"data":[126],"heterogeneity,":[127],"lack":[129],"universal":[131],"benchmarks.":[132],"conclude":[134],"by":[135],"summarizing":[136],"state":[138],"identifying":[143],"avenues":[144],"future":[146],"research.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":192},{"year":2025,"cited_by_count":269},{"year":2024,"cited_by_count":204},{"year":2023,"cited_by_count":207},{"year":2022,"cited_by_count":159},{"year":2021,"cited_by_count":213},{"year":2020,"cited_by_count":196},{"year":2019,"cited_by_count":158},{"year":2018,"cited_by_count":55}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}