{"id":"https://openalex.org/W4399282668","doi":"https://doi.org/10.1109/access.2024.3409152","title":"Enhancing Predictive Models to Lower Rehospitalization Risk: Utilizing Historical Medical Records for AI-Driven Interventions","display_name":"Enhancing Predictive Models to Lower Rehospitalization Risk: Utilizing Historical Medical Records for AI-Driven Interventions","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399282668","doi":"https://doi.org/10.1109/access.2024.3409152"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3409152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3409152","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3409152","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077610420","display_name":"Giada Confortola","orcid":"https://orcid.org/0000-0002-8201-1971"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Giada Confortola","raw_affiliation_strings":["Digital Service Platform Innovation Center, Hitachi Ltd., Kokubunji, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8201-1971","affiliations":[{"raw_affiliation_string":"Digital Service Platform Innovation Center, Hitachi Ltd., Kokubunji, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060059864","display_name":"Mika Takata","orcid":"https://orcid.org/0000-0003-1842-9991"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mika Takata","raw_affiliation_strings":["Digital Service Platform Innovation Center, Hitachi Ltd., Kokubunji, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1842-9991","affiliations":[{"raw_affiliation_string":"Digital Service Platform Innovation Center, Hitachi Ltd., Kokubunji, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111605631","display_name":"Naoaki Yokoi","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoaki Yokoi","raw_affiliation_strings":["Advanced Artificial Intelligence Innovation Center, Hitachi Ltd., Kokubunji, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Artificial Intelligence Innovation Center, Hitachi Ltd., Kokubunji, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041779676","display_name":"Masashi Egi","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Egi","raw_affiliation_strings":["Advanced Artificial Intelligence Innovation Center, Hitachi Ltd., Kokubunji, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Artificial Intelligence Innovation Center, Hitachi Ltd., Kokubunji, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72053755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"78911","last_page":"78921"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9708999991416931,"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":0.9708999991416931,"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/T10645","display_name":"Cardiac Arrest and Resuscitation","score":0.9355000257492065,"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/psychological-intervention","display_name":"Psychological intervention","score":0.5943967700004578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5909608602523804},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.5467886924743652},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20461603999137878},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13841649889945984}],"concepts":[{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5943967700004578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5909608602523804},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5467886924743652},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20461603999137878},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13841649889945984},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3409152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3409152","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7e1636e91cec443a9ad9c01df4e79210","is_oa":true,"landing_page_url":"https://doaj.org/article/7e1636e91cec443a9ad9c01df4e79210","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 78911-78921 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3409152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3409152","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2056884786","https://openalex.org/W2295598076","https://openalex.org/W2396881363","https://openalex.org/W2803516046","https://openalex.org/W2888788502","https://openalex.org/W2899420362","https://openalex.org/W2943838584","https://openalex.org/W2949337875","https://openalex.org/W2953532875","https://openalex.org/W2972116730","https://openalex.org/W2979804563","https://openalex.org/W2981733053","https://openalex.org/W3003443412","https://openalex.org/W3014965089","https://openalex.org/W3016159377","https://openalex.org/W3082767609","https://openalex.org/W3112254650","https://openalex.org/W3132699381","https://openalex.org/W3162805193","https://openalex.org/W3183580055","https://openalex.org/W3196387851","https://openalex.org/W4225275371","https://openalex.org/W4225616500","https://openalex.org/W4238805501","https://openalex.org/W4296045530","https://openalex.org/W4327928478","https://openalex.org/W6737947904"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"models":[3],"can":[4,17,31],"predict":[5],"patient":[6,151],"readmission":[7,41,220],"probabilities,":[8],"aiding":[9],"discharge":[10,70,137,228],"decisions":[11],"and":[12,21,43,120,157,237],"preventing":[13],"early":[14],"discharges,":[15],"which":[16],"lead":[18],"to":[19,60,69,89,100,124,153,175,217,233],"rehospitalization":[20,104],"related":[22],"increased":[23],"costs.":[24],"EXplainable":[25],"AI":[26],"(XAI)":[27],"methods,":[28],"like":[29],"SHAP,":[30],"identify":[32],"important":[33],"features":[34,44],"for":[35,96,134],"the":[36,40,62,71,90,102,108,159,162,177,184,219,238],"predicted":[37],"risk.":[38,105],"However,":[39],"risk":[42,63,138],"importance":[45],"are":[46],"often":[47],"considered":[48],"not":[49],"informative":[50],"enough,":[51],"as":[52,223],"they":[53],"lack":[54],"in":[55,204,227],"providing":[56],"suggestions":[57,95,123,169],"on":[58],"how":[59],"reduce":[61,101,218],"when":[64],"it":[65],"is":[66,139,166],"too":[67,141],"high":[68],"patient.":[72],"Our":[73],"proposed":[74],"method":[75,116,191,214],"addresses":[76],"this":[77,213],"gap":[78],"by":[79,210],"using":[80,171],"historical":[81,109,155,173,198],"medical":[82],"records":[83],"of":[84,112,150,161,197,241],"patients":[85],"with":[86,128,168],"profiles":[87],"similar":[88],"current":[91,126],"case.":[92],"It":[93],"generates":[94],"modifying":[97],"feature":[98],"values":[99,119,127],"AI-predicted":[103],"By":[106],"analyzing":[107],"data":[110],"distribution":[111],"these":[113,129],"features,":[114],"our":[115,144,190],"infers":[117],"optimal":[118],"provides":[121,215],"targeted":[122],"align":[125],"ideals,":[130],"offering":[131],"a":[132,224],"strategy":[133],"situations":[135],"where":[136],"deemed":[140],"high.":[142],"In":[143],"approach,":[145],"we":[146],"explore":[147],"different":[148],"definitions":[149],"similarity":[152],"select":[154],"cases":[156,174,199],"evaluate":[158],"effectiveness":[160],"derived":[163],"suggestions.":[164],"This":[165,230],"compared":[167],"generated":[170],"random":[172,207],"determine":[176],"most":[178],"effective":[179],"case":[180,208],"selection":[181],"criteria.":[182],"Using":[183],"MIMIC-III":[185],"electronic":[186],"health":[187],"record":[188],"dataset,":[189],"demonstrated":[192],"that":[193],"two":[194],"specific":[195],"sets":[196],"achieved":[200],"an":[201],"80%":[202],"precision":[203],"suggestions,":[205],"surpassing":[206],"selections":[209],"3%.":[211],"Ultimately,":[212],"recommendations":[216],"risks,":[221],"serving":[222],"valuable":[225],"tool":[226],"planning.":[229],"contributes":[231],"significantly":[232],"reducing":[234],"premature":[235],"discharges":[236],"associated":[239],"costs":[240],"rehospitalization.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
