{"id":"https://openalex.org/W2968115216","doi":"https://doi.org/10.23919/ecc.2019.8796082","title":"Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions","display_name":"Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968115216","doi":"https://doi.org/10.23919/ecc.2019.8796082","mag":"2968115216"},"language":"en","primary_location":{"id":"doi:10.23919/ecc.2019.8796082","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2019.8796082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 18th European Control Conference (ECC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079197814","display_name":"Taiyao Wang","orcid":"https://orcid.org/0000-0002-0331-3892"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taiyao Wang","raw_affiliation_strings":["Division of Systems Engineering, and Center for Information and Systems Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering, and Center for Information and Systems Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075696701","display_name":"Ioannis Ch. Paschalidis","orcid":"https://orcid.org/0000-0002-3343-2913"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ioannis Ch. Paschalidis","raw_affiliation_strings":["Division of Systems Engineering, and Center for Information and Systems Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering, and Center for Information and Systems Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1182","last_page":"1187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9926999807357788,"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":0.9926999807357788,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9563000202178955,"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/support-vector-machine","display_name":"Support vector machine","score":0.7940186262130737},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5908322334289551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.581565797328949},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5071287155151367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49172142148017883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4840047061443329},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4370814263820648},{"id":"https://openalex.org/keywords/medical-prescription","display_name":"Medical prescription","score":0.4272172451019287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3853764832019806},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3508778214454651},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25105172395706177}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7940186262130737},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5908322334289551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.581565797328949},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5071287155151367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49172142148017883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4840047061443329},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4370814263820648},{"id":"https://openalex.org/C2426938","wikidata":"https://www.wikidata.org/wiki/Q3355478","display_name":"Medical prescription","level":2,"score":0.4272172451019287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3853764832019806},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3508778214454651},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25105172395706177},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc.2019.8796082","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2019.8796082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 18th European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1507350577","https://openalex.org/W1980379005","https://openalex.org/W2010740227","https://openalex.org/W2051222283","https://openalex.org/W2056102627","https://openalex.org/W2069931974","https://openalex.org/W2101234009","https://openalex.org/W2119821739","https://openalex.org/W2122825543","https://openalex.org/W2130698119","https://openalex.org/W2145469101","https://openalex.org/W2224892042","https://openalex.org/W2325150376","https://openalex.org/W2542719835","https://openalex.org/W2570850240","https://openalex.org/W2763871115","https://openalex.org/W2769650660","https://openalex.org/W2808897169","https://openalex.org/W2893687496","https://openalex.org/W2903277834","https://openalex.org/W2911964244","https://openalex.org/W2963989903","https://openalex.org/W2969714402","https://openalex.org/W4239510810","https://openalex.org/W4293276218","https://openalex.org/W6630331605","https://openalex.org/W6675354045","https://openalex.org/W6679676526","https://openalex.org/W6746650335","https://openalex.org/W6755506522"],"related_works":["https://openalex.org/W2361820086","https://openalex.org/W4388487825","https://openalex.org/W2368224867","https://openalex.org/W3029903131","https://openalex.org/W3111030087","https://openalex.org/W2341334583","https://openalex.org/W2385685139","https://openalex.org/W2358949696","https://openalex.org/W3032266754","https://openalex.org/W2038092528"],"abstract_inverted_index":{"We":[0,93],"augment":[1],"linear":[2],"Support":[3],"Vector":[4],"Machine":[5],"(SVM)":[6],"classifiers":[7],"by":[8],"adding":[9],"three":[10],"important":[11],"features:":[12],"(i)":[13],"we":[14,25,47,121],"introduce":[15],"a":[16,21,27,38,49,114,123],"regularization":[17],"constraint":[18],"to":[19,51,60,70,90,97],"induce":[20],"sparse":[22,39],"classifier;":[23],"(ii)":[24],"devise":[26],"method":[28,50],"that":[29,112,119],"partitions":[30],"the":[31,53,62,83,98,135,139,149],"positive":[32,84],"class":[33],"into":[34],"clusters":[35],"and":[36,45,102],"selects":[37],"SVM":[40],"classifier":[41],"for":[42,110],"each":[43],"cluster;":[44],"(iii)":[46],"develop":[48],"optimize":[52],"values":[54],"of":[55,64,100,148,152],"controllable":[56],"variables":[57],"in":[58,76,82,134,138],"order":[59],"reduce":[61],"number":[63],"data":[65],"points":[66],"which":[67],"are":[68],"predicted":[69],"have":[71],"an":[72],"undesirable":[73],"outcome,":[74],"which,":[75],"our":[77,95],"setting,":[78],"coincides":[79],"with":[80],"being":[81],"class.":[85],"The":[86,141],"latter":[87],"feature":[88],"leads":[89],"personalized":[91],"prescriptions/recommendations.":[92],"apply":[94],"methods":[96],"problem":[99],"predicting":[101],"preventing":[103],"hospital":[104],"readmissions":[105],"within":[106],"30-days":[107],"from":[108],"discharge":[109],"patients":[111,130],"underwent":[113],"general":[115],"surgical":[116],"procedure.":[117],"To":[118],"end,":[120],"leverage":[122],"large":[124],"dataset":[125,142],"containing":[126],"over":[127],"2.28":[128],"million":[129],"who":[131],"had":[132],"surgeries":[133],"period":[136],"2011\u20132014":[137],"U.S.":[140],"has":[143],"been":[144],"collected":[145],"as":[146],"part":[147],"American":[150],"College":[151],"Surgeons":[153],"National":[154],"Surgical":[155],"Quality":[156],"Improvement":[157],"Program":[158],"(NSOIP).":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
