{"id":"https://openalex.org/W4313525414","doi":"https://doi.org/10.1109/bibm55620.2022.9995664","title":"An Embedded Machine Learning Model for Early Detection and Intervention of High-Risk Intensive Care Unit Readmission Patients","display_name":"An Embedded Machine Learning Model for Early Detection and Intervention of High-Risk Intensive Care Unit Readmission Patients","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313525414","doi":"https://doi.org/10.1109/bibm55620.2022.9995664"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995664","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995664","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5063205762","display_name":"Lu He","orcid":"https://orcid.org/0000-0003-0181-018X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lu He","raw_affiliation_strings":["Mississippi State University,Department of Marketing, Quantitative Analysis, and Business Law,Starkville,USA","Department of Marketing, Quantitative Analysis, and Business Law, Mississippi State University, Starkville, USA"],"affiliations":[{"raw_affiliation_string":"Mississippi State University,Department of Marketing, Quantitative Analysis, and Business Law,Starkville,USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Department of Marketing, Quantitative Analysis, and Business Law, Mississippi State University, Starkville, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386394","display_name":"Haifeng Wang","orcid":"https://orcid.org/0000-0002-0672-7468"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haifeng Wang","raw_affiliation_strings":["Mississippi State University,Department of Industrial and Systems Engineering,Starkville,USA","Department of Industrial and Systems Engineering, Mississippi State University, Starkville, USA"],"affiliations":[{"raw_affiliation_string":"Mississippi State University,Department of Industrial and Systems Engineering,Starkville,USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Mississippi State University, Starkville, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065070908","display_name":"Mandana Rezaeiahari","orcid":"https://orcid.org/0000-0002-8390-9118"},"institutions":[{"id":"https://openalex.org/I79620101","display_name":"University of Arkansas for Medical Sciences","ror":"https://ror.org/00xcryt71","country_code":"US","type":"education","lineage":["https://openalex.org/I79620101"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mandana Rezaeiahari","raw_affiliation_strings":["The University of Arkansas for Medical Sciences,Department of Health Policy and Management,Little Rock,USA","Department of Health Policy and Management, The University of Arkansas for Medical Sciences, Little Rock, USA"],"affiliations":[{"raw_affiliation_string":"The University of Arkansas for Medical Sciences,Department of Health Policy and Management,Little Rock,USA","institution_ids":["https://openalex.org/I79620101"]},{"raw_affiliation_string":"Department of Health Policy and Management, The University of Arkansas for Medical Sciences, Little Rock, USA","institution_ids":["https://openalex.org/I79620101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013227742","display_name":"Chun-An Chou","orcid":"https://orcid.org/0000-0001-5806-2093"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-An Chou","raw_affiliation_strings":["Northeastern University,Department of Mechanical and Industrial Engineering,Boston,USA","Department of Mechanical and Industrial Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Mechanical and Industrial Engineering,Boston,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063205762"],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":0.1041,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34148575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1544","last_page":"1549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9955999851226807,"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":0.9955999851226807,"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/T10198","display_name":"Heart Failure Treatment and Management","score":0.9937999844551086,"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intensive-care-unit","display_name":"Intensive care unit","score":0.7296674251556396},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6477418541908264},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6170940399169922},{"id":"https://openalex.org/keywords/informatics","display_name":"Informatics","score":0.6040732264518738},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.5705325603485107},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.5676875710487366},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5617952346801758},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5558072328567505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.492693692445755},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.44181081652641296},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.4268609285354614},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.39988693594932556},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.39917999505996704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37689208984375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34644627571105957},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.1707436442375183},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.11851820349693298},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09603437781333923}],"concepts":[{"id":"https://openalex.org/C2776376669","wikidata":"https://www.wikidata.org/wiki/Q5094647","display_name":"Intensive care unit","level":2,"score":0.7296674251556396},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6477418541908264},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6170940399169922},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.6040732264518738},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.5705325603485107},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5676875710487366},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5617952346801758},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5558072328567505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.492693692445755},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.44181081652641296},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.4268609285354614},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.39988693594932556},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.39917999505996704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37689208984375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34644627571105957},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.1707436442375183},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.11851820349693298},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09603437781333923},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995664","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995664","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W33773924","https://openalex.org/W1972879084","https://openalex.org/W1980952910","https://openalex.org/W2039743910","https://openalex.org/W2056264597","https://openalex.org/W2058422882","https://openalex.org/W2113783262","https://openalex.org/W2130019623","https://openalex.org/W2148143831","https://openalex.org/W2162949830","https://openalex.org/W2219713661","https://openalex.org/W2803516046","https://openalex.org/W2890434320","https://openalex.org/W2899420362","https://openalex.org/W2957430216","https://openalex.org/W2998359435","https://openalex.org/W3135446575","https://openalex.org/W3171080130","https://openalex.org/W6772693645"],"related_works":["https://openalex.org/W4367335967","https://openalex.org/W2397677514","https://openalex.org/W1495820741","https://openalex.org/W2914293784","https://openalex.org/W4323056170","https://openalex.org/W2138729887","https://openalex.org/W2401910071","https://openalex.org/W2126732312","https://openalex.org/W4302329558","https://openalex.org/W1971571384"],"abstract_inverted_index":{"Hospitalized":[0],"patients":[1],"who":[2],"are":[3,17],"transferred":[4],"out":[5],"from":[6,103],"the":[7,104,139,174],"Intensive":[8],"Care":[9],"Unit":[10],"(ICU)":[11],"but":[12],"readmitted":[13],"within":[14],"three":[15],"days":[16],"considered":[18],"ICU":[19,26,42,60,84,108,167,191],"readmission.":[20,168],"Compared":[21],"with":[22,35,82,115,146,155],"general":[23],"hospital":[24],"readmission,":[25],"readmission":[27,61,85,124,192],"brings":[28],"higher":[29,45],"morbidity":[30],"and":[31,38,48,56,66,87,106,126,141,162,195],"mortality":[32],"risks":[33],"along":[34],"more":[36],"financial":[37],"labor":[39],"expenses":[40],"because":[41],"requires":[43],"a":[44,143,184],"nurse-to-patient":[46],"ratio":[47],"closer":[49],"monitoring":[50],"of":[51,58,149,173],"high-risk":[52],"patients.":[53,67],"Early":[54],"prediction":[55],"prevention":[57],"potential":[59],"benefits":[62],"both":[63],"healthcare":[64,89],"providers":[65],"In":[68],"this":[69],"work,":[70],"we":[71],"designed":[72,181],"an":[73,110,147],"embedded":[74,175],"machine":[75,176],"learning":[76,177],"(ML)":[77],"system":[78,178],"to":[79,121,182],"detect":[80],"individuals":[81],"high":[83],"risk":[86,125],"support":[88],"providers\u2019":[90],"decisions":[91],"on":[92,96,138,152,187],"further":[93,180],"interventions":[94],"based":[95],"population":[97],"health":[98],"informatics.":[99],"To":[100],"discover":[101],"patterns":[102],"sparse":[105],"imbalanced":[107],"data,":[109],"algorithm":[111,135],"called":[112],"explainable":[113],"ML":[114],"noise":[116],"reduction":[117],"(NRL)":[118],"is":[119,136,179],"proposed":[120,134],"predict":[122],"patient":[123],"identify":[127],"controllable":[128],"variables":[129],"for":[130],"early":[131,193],"intervention.":[132],"The":[133],"tested":[137],"MIMIC-II":[140],"achieved":[142],"better":[144],"performance":[145],"improvement":[148],"over":[150],"113%":[151],"sensitivity":[153],"compared":[154],"widely":[156],"utilized":[157],"models,":[158],"including":[159],"logistic":[160],"regression":[161],"decision":[163],"tree,":[164],"in":[165,190,197],"predicting":[166],"A":[169],"graphical":[170],"user":[171],"interface":[172],"illustrate":[183],"case":[185],"study":[186],"its":[188],"application":[189],"detection":[194],"intervention":[196],"practice.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}