{"id":"https://openalex.org/W2954119303","doi":"https://doi.org/10.1145/3321707.3321802","title":"EMOCS","display_name":"EMOCS","publication_year":2019,"publication_date":"2019-07-03","ids":{"openalex":"https://openalex.org/W2954119303","doi":"https://doi.org/10.1145/3321707.3321802","mag":"2954119303"},"language":"en","primary_location":{"id":"doi:10.1145/3321707.3321802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321802","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"Proceedings of the Genetic and Evolutionary Computation Conference","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/A5089030908","display_name":"Diane P. Fraser","orcid":"https://orcid.org/0000-0003-0988-8926"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Diane P. Fraser","raw_affiliation_strings":["University of Exeter, Exeter, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Exeter, Exeter, United Kingdom","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058871746","display_name":"Edward Keedwell","orcid":"https://orcid.org/0000-0003-3650-6487"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Edward Keedwell","raw_affiliation_strings":["University of Exeter, Exeter, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Exeter, Exeter, United Kingdom","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106185487","display_name":"Stephen L. Michell","orcid":null},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen L. Michell","raw_affiliation_strings":["University of Exeter, Exeter, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Exeter, Exeter, United Kingdom","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012805241","display_name":"Ray Sheridan","orcid":"https://orcid.org/0000-0001-9169-6549"},"institutions":[{"id":"https://openalex.org/I4210154447","display_name":"Exeter Hospital","ror":"https://ror.org/05a5dkj17","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I4210109172","https://openalex.org/I4210154447"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ray Sheridan","raw_affiliation_strings":["RD&E Hospital, Exeter, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RD&E Hospital, Exeter, United Kingdom","institution_ids":["https://openalex.org/I4210154447"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1174","last_page":"1182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10654","display_name":"Pneumonia and Respiratory Infections","score":0.9847999811172485,"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"}},"topics":[{"id":"https://openalex.org/T10654","display_name":"Pneumonia and Respiratory Infections","score":0.9847999811172485,"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"}},{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9476000070571899,"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/balanced-scorecard","display_name":"Balanced scorecard","score":0.9466403722763062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6591202020645142},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5062600374221802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4812857508659363},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.46335792541503906},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.44189807772636414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39535486698150635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3454717993736267},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.1845056414604187},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11778396368026733}],"concepts":[{"id":"https://openalex.org/C199004533","wikidata":"https://www.wikidata.org/wiki/Q210127","display_name":"Balanced scorecard","level":2,"score":0.9466403722763062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591202020645142},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5062600374221802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4812857508659363},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.46335792541503906},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.44189807772636414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39535486698150635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3454717993736267},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.1845056414604187},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11778396368026733}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3321707.3321802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321802","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:ore.exeter.ac.uk:10871/120853","is_oa":false,"landing_page_url":"http://hdl.handle.net/10871/120853","pdf_url":null,"source":{"id":"https://openalex.org/S4306401998","display_name":"Open Research Exeter (University of Exeter)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I23923803","host_organization_name":"University of Exeter","host_organization_lineage":["https://openalex.org/I23923803"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1436783943","display_name":null,"funder_award_id":"EP/N014391/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G688401098","display_name":"EPSRC Centre for Predictive Modelling in Healthcare","funder_award_id":"EP/N014391/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W71576412","https://openalex.org/W1973139630","https://openalex.org/W2126105956","https://openalex.org/W2130141864","https://openalex.org/W2505866605","https://openalex.org/W2511658241","https://openalex.org/W2566909686","https://openalex.org/W2582743722","https://openalex.org/W2744304370","https://openalex.org/W2763577087","https://openalex.org/W4205814291"],"related_works":["https://openalex.org/W3093934131","https://openalex.org/W2164684113","https://openalex.org/W3121818711","https://openalex.org/W3127785488","https://openalex.org/W1601174903","https://openalex.org/W2530775258","https://openalex.org/W2372357621","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W4366979180"],"abstract_inverted_index":{"Clinical":[0],"scorecards":[1,39,154,166],"of":[2,38,60,130,153],"risk":[3],"factors":[4],"associated":[5],"with":[6],"disease":[7,193],"severity":[8],"or":[9,29],"mortality":[10],"outcome":[11],"are":[12,46,71,138,189],"used":[13,148],"by":[14,140,157],"clinicians":[15],"to":[16,149,164,191],"make":[17],"treatment":[18],"decisions":[19],"and":[20,66,93,132,143,183],"optimize":[21],"resources.":[22],"This":[23,161],"study":[24],"develops":[25],"an":[26,112,176],"automated":[27,69],"tool":[28],"framework":[30],"based":[31,47],"on":[32,48,75],"evolutionary":[33,145],"algorithms":[34],"for":[35,90,97,134,155,174],"the":[36,49,58,88,101,103,106,119,123,141,144,186,195],"derivation":[37],"from":[40],"clinical":[41],"data.":[42],"The":[43,80,109],"techniques":[44],"employed":[45],"NSGA-II":[50],"Multi-objective":[51],"Optimization":[52],"Genetic":[53],"Algorithm":[54],"(GA)":[55],"which":[56,73,86,118],"optimizes":[57],"Pareto-front":[59],"two":[61],"clinically-relevant":[62],"scorecard":[63,98,124,136],"objectives,":[64],"size":[65],"accuracy.":[67],"Three":[68],"methods":[70,187],"presented":[72],"improve":[74,168],"previous":[76],"manually":[77],"derived":[78,172],"scorecards.":[79],"first":[81],"is":[82,111,147,162,198],"a":[83,94,170],"hybrid":[84],"algorithm":[85,142],"uses":[87],"GA":[89,104,120],"feature":[91],"selection":[92],"decision":[95,159],"tree":[96],"generation.":[99],"In":[100,126],"second,":[102],"generates":[105,122],"full":[107,114],"scorecard.":[108],"third":[110],"extended":[113],"scoring":[115],"system":[116,128],"in":[117,181],"also":[121],"scores.":[125],"this":[127],"combinations":[129],"features":[131],"thresholds":[133],"each":[135],"point":[137],"selected":[139],"process":[146],"discover":[150],"near-optimal":[151],"Pareto-fronts":[152],"exploration":[156],"expert":[158],"makers.":[160],"shown":[163],"produce":[165],"that":[167],"upon":[169],"human":[171],"example":[173],"C.Difficile,":[175],"important":[177],"infection":[178],"found":[179],"globally":[180],"communities":[182],"hospitals,":[184],"although":[185],"described":[188],"applicable":[190],"any":[192],"where":[194],"required":[196],"data":[197],"available.":[199]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-07-12T00:00:00"}