{"id":"https://openalex.org/W2137604546","doi":"https://doi.org/10.1145/2638728.2638815","title":"Using electronic health records to predict severity of condition for congestive heart failure patients","display_name":"Using electronic health records to predict severity of condition for congestive heart failure patients","publication_year":2014,"publication_date":"2014-09-13","ids":{"openalex":"https://openalex.org/W2137604546","doi":"https://doi.org/10.1145/2638728.2638815","mag":"2137604546"},"language":"en","primary_location":{"id":"doi:10.1145/2638728.2638815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2638728.2638815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","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/A5055086608","display_name":"Costas Sideris","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Costas Sideris","raw_affiliation_strings":["University of California, Los Angeles, CA","University of California, Los Angeles. CA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles. CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044196437","display_name":"Behnam Shahbazi","orcid":"https://orcid.org/0000-0001-6467-8409"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnam Shahbazi","raw_affiliation_strings":["University of California, Los Angeles, CA","University of California, Los Angeles. CA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles. CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002504765","display_name":"Mohammad Pourhomayoun","orcid":"https://orcid.org/0000-0002-0539-7487"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Pourhomayoun","raw_affiliation_strings":["University of California, Los Angeles, CA","University of California, Los Angeles. CA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles. CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001385856","display_name":"Nabil Alshurafa","orcid":"https://orcid.org/0000-0001-6681-7564"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nabil Alshurafa","raw_affiliation_strings":["University of California, Los Angeles, CA","University of California, Los Angeles. CA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles. CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078132977","display_name":"Majid Sarrafzadeh","orcid":"https://orcid.org/0000-0001-8407-8689"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Majid Sarrafzadeh","raw_affiliation_strings":["University of California, Los Angeles, CA","University of California, Los Angeles. CA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles. CA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055086608"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":2.863,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92210892,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"1187","last_page":"1192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9936000108718872,"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":0.9936000108718872,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/heart-failure","display_name":"Heart failure","score":0.7959768772125244},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6615467071533203},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5917955636978149},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.5758633613586426},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.5321357250213623},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4533800184726715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40486404299736023},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.39702484011650085},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3913010060787201},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.3652881979942322},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.3484736382961273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34130799770355225},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.1694009006023407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1464037299156189}],"concepts":[{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.7959768772125244},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6615467071533203},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5917955636978149},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5758633613586426},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.5321357250213623},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4533800184726715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40486404299736023},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.39702484011650085},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3913010060787201},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3652881979942322},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.3484736382961273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34130799770355225},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.1694009006023407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1464037299156189},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2638728.2638815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2638728.2638815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W1485955713","https://openalex.org/W1532050694","https://openalex.org/W1983487990","https://openalex.org/W2000445173","https://openalex.org/W2069324432","https://openalex.org/W2080981386","https://openalex.org/W2081754796","https://openalex.org/W2094043926","https://openalex.org/W2107946060","https://openalex.org/W2113927623","https://openalex.org/W2539174614","https://openalex.org/W2999729612","https://openalex.org/W4298882835"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W2554558516","https://openalex.org/W2355354922","https://openalex.org/W2527724968","https://openalex.org/W2356296688","https://openalex.org/W2413325029","https://openalex.org/W2739554337"],"abstract_inverted_index":{"We":[0,17,60,111],"propose":[1,113],"a":[2,46,92,114],"novel":[3],"way":[4],"to":[5,33,40,66,121,125],"design":[6],"an":[7],"analytics":[8],"engine":[9],"based":[10,72],"exclusively":[11],"on":[12,21,73],"electronic":[13],"health":[14],"records":[15],"(EHR).":[16],"focus":[18],"our":[19,28],"efforts":[20],"Congestive":[22],"Heart":[23],"Failure":[24],"(CHF)":[25],"patients,":[26],"although":[27],"approach":[29],"could":[30],"be":[31],"extended":[32],"other":[34],"chronic":[35],"conditions.":[36],"Our":[37],"goal":[38],"is":[39,64],"construct":[41],"statistical":[42],"models":[43],"that":[44,62,103,118],"predict":[45,67],"CHF":[47],"patient's":[48],"length":[49,68],"of":[50,57,69,81,97,116,129],"stay":[51,71],"and":[52],"by":[53],"extension":[54],"the":[55,78],"severity":[56,128],"his/her":[58],"condition.":[59,130],"show":[61],"it":[63],"possible":[65],"hospital":[70,101],"physiological":[74],"data":[75],"collected":[76],"from":[77],"first":[79],"day":[80],"hospitalization.":[82],"Using":[83],"10-fold":[84],"cross":[85],"validation":[86],"we":[87],"achieve":[88],"accurate":[89],"predictions":[90],"with":[91],"root":[93],"mean":[94],"square":[95],"error":[96],"3.3":[98],"days":[99,108],"for":[100],"stays":[102],"are":[104],"less":[105],"than":[106],"15":[107],"in":[109],"duration.":[110],"also":[112],"clustering":[115],"patients":[117],"organizes":[119],"them":[120],"risk":[122],"groups":[123],"according":[124],"their":[126],"estimated":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
