{"id":"https://openalex.org/W4388837965","doi":"https://doi.org/10.1109/tr.2023.3330733","title":"A Machine-Learning-Based Approach for Identifying Diagnostic Errors in Electronic Medical Records","display_name":"A Machine-Learning-Based Approach for Identifying Diagnostic Errors in Electronic Medical Records","publication_year":2023,"publication_date":"2023-11-20","ids":{"openalex":"https://openalex.org/W4388837965","doi":"https://doi.org/10.1109/tr.2023.3330733"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2023.3330733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3330733","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Transactions on Reliability","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5005495416","display_name":"Butian Zhao","orcid":"https://orcid.org/0000-0001-9278-6685"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Butian Zhao","raw_affiliation_strings":["School of Economics and Management, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008891083","display_name":"Runtong Zhang","orcid":"https://orcid.org/0000-0003-0246-5058"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runtong Zhang","raw_affiliation_strings":["School of Economics and Management, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007190842","display_name":"Donghua Chen","orcid":"https://orcid.org/0000-0003-1786-7551"},"institutions":[{"id":"https://openalex.org/I146563203","display_name":"University of International Business and Economics","ror":"https://ror.org/05khqpb71","country_code":"CN","type":"education","lineage":["https://openalex.org/I146563203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghua Chen","raw_affiliation_strings":["School of Information Technology and Management, University of International Business and Economics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Management, University of International Business and Economics, Beijing, China","institution_ids":["https://openalex.org/I146563203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091453895","display_name":"Kaiyuan Bai","orcid":"https://orcid.org/0000-0002-2344-3627"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Bai","raw_affiliation_strings":["School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101472952","display_name":"Hongmei Zhao","orcid":"https://orcid.org/0000-0002-5142-2516"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210124809","display_name":"Peking University People's Hospital","ror":"https://ror.org/035adwg89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124809"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmei Zhao","raw_affiliation_strings":["Peking University People's Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University People's Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210124809","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026636250","display_name":"Siqian Gong","orcid":"https://orcid.org/0000-0002-1940-5599"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqian Gong","raw_affiliation_strings":["School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070410962","display_name":"Xiaomin Zhu","orcid":"https://orcid.org/0000-0002-5199-0062"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Zhu","raw_affiliation_strings":["School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005495416"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.3461,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67233161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"73","issue":"2","first_page":"1172","last_page":"1186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9994000196456909,"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":0.9994000196456909,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9955999851226807,"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":0.986299991607666,"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/bottleneck","display_name":"Bottleneck","score":0.7777163982391357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7016533613204956},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.654175341129303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5731598138809204},{"id":"https://openalex.org/keywords/diagnostic-accuracy","display_name":"Diagnostic accuracy","score":0.5491514205932617},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5389500260353088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5181742906570435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4518721103668213},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4367557764053345},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13697165250778198},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10138621926307678}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7777163982391357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016533613204956},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.654175341129303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5731598138809204},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.5491514205932617},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5389500260353088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5181742906570435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4518721103668213},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4367557764053345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13697165250778198},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10138621926307678},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2023.3330733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3330733","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G145073829","display_name":null,"funder_award_id":"18ZDA086","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"},{"id":"https://openalex.org/G3647670962","display_name":null,"funder_award_id":"L201003","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G522646492","display_name":null,"funder_award_id":"62102087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G723782673","display_name":null,"funder_award_id":"62173025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1019621983","https://openalex.org/W1103060529","https://openalex.org/W1915663390","https://openalex.org/W1972658786","https://openalex.org/W1976526581","https://openalex.org/W2009728104","https://openalex.org/W2064186732","https://openalex.org/W2113700362","https://openalex.org/W2120887021","https://openalex.org/W2141005861","https://openalex.org/W2147261579","https://openalex.org/W2154651644","https://openalex.org/W2167988582","https://openalex.org/W2168490582","https://openalex.org/W2169041559","https://openalex.org/W2184404362","https://openalex.org/W2295598076","https://openalex.org/W2343500026","https://openalex.org/W2563339609","https://openalex.org/W2581616973","https://openalex.org/W2759853815","https://openalex.org/W2784499877","https://openalex.org/W2788514901","https://openalex.org/W2790107205","https://openalex.org/W2895457576","https://openalex.org/W2911489562","https://openalex.org/W2958894272","https://openalex.org/W2962720233","https://openalex.org/W2990263762","https://openalex.org/W2993873509","https://openalex.org/W3009583110","https://openalex.org/W3011797839","https://openalex.org/W3015860778","https://openalex.org/W3023618320","https://openalex.org/W3035119815","https://openalex.org/W3098949126","https://openalex.org/W3102440010","https://openalex.org/W3109917366","https://openalex.org/W3159579291","https://openalex.org/W3160137267","https://openalex.org/W3175384364","https://openalex.org/W3192677404","https://openalex.org/W3195548736","https://openalex.org/W3207542615","https://openalex.org/W3214439486","https://openalex.org/W4212883601","https://openalex.org/W4220821627","https://openalex.org/W4221099399","https://openalex.org/W4226002160","https://openalex.org/W4295185371","https://openalex.org/W6751145664","https://openalex.org/W6755207826","https://openalex.org/W6803272178"],"related_works":["https://openalex.org/W2033512842","https://openalex.org/W4233600955","https://openalex.org/W4322734194","https://openalex.org/W3116237489","https://openalex.org/W2913665393","https://openalex.org/W2369695847","https://openalex.org/W3005535424","https://openalex.org/W2994319598","https://openalex.org/W2047067935","https://openalex.org/W1607054433"],"abstract_inverted_index":{"Diagnostic":[0],"error":[1,24,116,184],"refers":[2],"to":[3,47,135,147,166],"a":[4,64],"missed,":[5],"delayed,":[6],"or":[7],"wrong":[8],"diagnosis,":[9],"which":[10,194],"seriously":[11],"affects":[12],"diagnostic":[13,18,23,32,49,69,104,115,124,149,183,198],"reliability":[14,199],"and":[15,51,95,118,140,151,168,186,200],"safety.":[16],"Identifying":[17],"errors":[19,70,105,150],"is":[20],"crucial":[21],"for":[22,67,87,143],"research.":[25],"As":[26],"an":[27],"important":[28],"method":[29],"of":[30,103,122,163,191],"identifying":[31,68],"errors,":[33,50],"electronic":[34,72],"triggers":[35],"(e-triggers)":[36],"have":[37],"several":[38],"limitations,":[39],"including":[40],"the":[41,45,52,99,109,120,128,145,158,170,189,203],"performance":[42,138],"improvement":[43],"bottleneck,":[44],"inability":[46],"predict":[48,119],"narrow":[53],"trigger":[54],"range":[55],"caused":[56],"by":[57],"inadequate":[58],"data":[59],"utilization.":[60],"This":[61],"article":[62],"proposes":[63],"novel":[65],"approach":[66,111,179],"in":[71,127,202],"medical":[73],"records":[74],"(EMRs)":[75],"based":[76],"on":[77],"machine":[78],"learning":[79,98],"(ML)":[80],"techniques.":[81],"First,":[82],"we":[83,131],"design":[84],"four":[85],"stages":[86],"our":[88,178],"approach,":[89],"i.e.,":[90],"EMR":[91],"utilization,":[92],"ML,":[93],"evaluation,":[94],"prediction.":[96],"By":[97],"implicit":[100],"identification":[101],"pattern":[102],"from":[106],"historical":[107],"EMRs,":[108],"proposed":[110,171],"can":[112],"find":[113],"potential":[114],"cases":[117,185],"probability":[121],"upcoming":[123],"errors.":[125],"Second,":[126],"evaluation":[129],"stage,":[130],"introduce":[132],"various":[133],"metrics":[134],"evaluate":[136],"its":[137],"accurately":[139,180],"effectively.":[141],"Metrics":[142],"measuring":[144],"abilities":[146],"identify":[148],"resist":[152],"false":[153,192],"negatives":[154],"are":[155],"introduced.":[156],"Third,":[157],"study":[159],"utilizes":[160],"real-world":[161],"EMRs":[162],"leukemia":[164],"patients":[165],"illustrate":[167],"verify":[169],"approach.":[172],"The":[173],"experimental":[174],"results":[175],"indicate":[176],"that":[177],"identifies":[181],"most":[182],"efficiently":[187],"reduces":[188],"number":[190],"negatives,":[193],"will":[195],"help":[196],"protect":[197],"safety":[201],"clinic.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}