{"id":"https://openalex.org/W2736099924","doi":"https://doi.org/10.1109/ijcnn.2017.7966439","title":"Latent topic ensemble learning for hospital readmission cost reduction","display_name":"Latent topic ensemble learning for hospital readmission cost reduction","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2736099924","doi":"https://doi.org/10.1109/ijcnn.2017.7966439","mag":"2736099924"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5004639572","display_name":"Christopher Baechle","orcid":"https://orcid.org/0000-0002-6018-066X"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Christopher Baechle","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101827048","display_name":"Ankur Agarwal","orcid":"https://orcid.org/0009-0002-3149-7219"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankur Agarwal","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090366847","display_name":"Ravi S. Behara","orcid":"https://orcid.org/0000-0001-5078-5377"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Behara","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084641325","display_name":"Xingquan Zhu","orcid":"https://orcid.org/0000-0003-4129-9611"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingquan Zhu","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004639572"],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":null,"apc_paid":null,"fwci":1.2471,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85105634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4594","last_page":"4601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9721999764442444,"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":0.9721999764442444,"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/T10028","display_name":"Topic Modeling","score":0.9495000243186951,"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":0.947700023651123,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7729875445365906},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7166653871536255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5985961556434631},{"id":"https://openalex.org/keywords/hospital-readmission","display_name":"Hospital readmission","score":0.5054535865783691},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.4675254821777344},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.4416774809360504},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4359692931175232},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4121987819671631},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.318209707736969},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.2761005759239197}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7729875445365906},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7166653871536255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985961556434631},{"id":"https://openalex.org/C2776644030","wikidata":"https://www.wikidata.org/wiki/Q25324519","display_name":"Hospital readmission","level":2,"score":0.5054535865783691},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.4675254821777344},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.4416774809360504},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4359692931175232},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4121987819671631},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.318209707736969},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.2761005759239197},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/126462","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/126462","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W167016754","https://openalex.org/W1880262756","https://openalex.org/W2012731080","https://openalex.org/W2086923543","https://openalex.org/W2113483789","https://openalex.org/W2116061772","https://openalex.org/W2122838776","https://openalex.org/W2129997990","https://openalex.org/W2134326009","https://openalex.org/W2146089916","https://openalex.org/W2164904576","https://openalex.org/W2416866251","https://openalex.org/W2517656122","https://openalex.org/W2550538833","https://openalex.org/W4231510805","https://openalex.org/W6606837198","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Unplanned":[0],"hospital":[1,72,84],"readmission":[2],"is":[3],"a":[4,49,82,102],"costly":[5],"problem":[6],"in":[7],"the":[8,28,175],"United":[9],"States.":[10],"Patients":[11],"treated":[12],"and":[13,153],"readmitted":[14],"within":[15],"30":[16],"days":[17],"cost":[18,181],"tax":[19],"payers":[20],"up":[21],"to":[22,33,36,52,58,133,169],"$26":[23],"billion":[24],"annually.":[25],"In":[26,119],"2013":[27],"U.S.":[29],"federal":[30,156],"government":[31],"began":[32],"reduce":[34],"payments":[35],"hospitals":[37,93],"with":[38],"excessive":[39],"patient":[40],"readmissions.":[41],"Predictive":[42],"modeling":[43],"using":[44,79],"machine":[45],"learning":[46],"can":[47],"be":[48],"useful":[50],"tool":[51],"help":[53],"identify":[54],"patients":[55],"most":[56],"likely":[57],"need":[59],"readmission.":[60],"However,":[61],"current":[62],"systems":[63],"have":[64,95],"several":[65],"shortcomings.":[66],"When":[67],"creating":[68],"predictive":[69],"models":[70,78,99,110,132,141],"for":[71,180],"readmission,":[73],"existing":[74],"methods":[75],"either":[76],"build":[77],"data":[80,88,97,105,114,117,135,162],"from":[81,89,101,112,136,147,164],"single":[83,103],"or":[85],"naively":[86],"combining":[87],"multiple":[90,137],"hospitals.":[91,138,149,167],"Because":[92],"often":[94,107],"different":[96,148],"distributions,":[98],"created":[100,111],"hospital's":[104],"are":[106,151],"biased.":[108],"Additionally,":[109],"combined":[113],"overlook":[115],"local":[116],"distributions.":[118],"this":[120],"paper,":[121],"we":[122],"propose,":[123],"LTEL,":[124],"which":[125],"uses":[126],"an":[127],"ensemble":[128],"of":[129],"topic":[130],"specific":[131],"leverage":[134],"LTEL":[139,172],"creates":[140],"based":[142],"on":[143],"latent":[144],"topics":[145],"derived":[146],"Models":[150],"built":[152],"evaluated":[154],"incorporating":[155],"financial":[157],"penalties.":[158],"The":[159],"dataset":[160],"contains":[161],"collected":[163],"16":[165],"regional":[166],"Compared":[168],"baseline":[170,178],"methods,":[171],"significantly":[173],"outperforms":[174],"best":[176],"performing":[177],"method":[179],"reduction.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}