{"id":"https://openalex.org/W4225820843","doi":"https://doi.org/10.1109/bibm52615.2021.9669822","title":"Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes","display_name":"Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4225820843","doi":"https://doi.org/10.1109/bibm52615.2021.9669822"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669822","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 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":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5063588416","display_name":"Jiyoung Shin","orcid":"https://orcid.org/0000-0002-8099-2120"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiyoung Shin","raw_affiliation_strings":["Feinberg School of Medicine, Northwestern University, Chicago, IL, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feinberg School of Medicine, Northwestern University, Chicago, IL, U.S.A","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001704304","display_name":"Yikuan Li","orcid":"https://orcid.org/0000-0001-7546-9979"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yikuan Li","raw_affiliation_strings":["Feinberg School of Medicine, Northwestern University, Chicago, IL, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feinberg School of Medicine, Northwestern University, Chicago, IL, U.S.A","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100452550","display_name":"Yuan Luo","orcid":"https://orcid.org/0000-0003-0195-7456"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Luo","raw_affiliation_strings":["Feinberg School of Medicine, Northwestern University, Chicago, IL, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feinberg School of Medicine, Northwestern University, Chicago, IL, U.S.A","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.5861,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70746179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2885","last_page":"2890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9990000128746033,"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":0.9990000128746033,"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9983000159263611,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9103000164031982,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/sepsis","display_name":"Sepsis","score":0.7676271200180054},{"id":"https://openalex.org/keywords/intensive-care-unit","display_name":"Intensive care unit","score":0.643278956413269},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.5378846526145935},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5144246220588684},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5115150213241577},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.500086784362793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4537293612957001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4172452688217163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41529038548469543},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.3436282277107239},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2053486406803131},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.18878799676895142},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.1327323317527771}],"concepts":[{"id":"https://openalex.org/C2778384902","wikidata":"https://www.wikidata.org/wiki/Q183134","display_name":"Sepsis","level":2,"score":0.7676271200180054},{"id":"https://openalex.org/C2776376669","wikidata":"https://www.wikidata.org/wiki/Q5094647","display_name":"Intensive care unit","level":2,"score":0.643278956413269},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.5378846526145935},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5144246220588684},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5115150213241577},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.500086784362793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4537293612957001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4172452688217163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41529038548469543},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.3436282277107239},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2053486406803131},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.18878799676895142},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.1327323317527771},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669822","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 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":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1520425169","https://openalex.org/W1550258693","https://openalex.org/W1898928487","https://openalex.org/W1966457702","https://openalex.org/W1999889125","https://openalex.org/W2009065888","https://openalex.org/W2039251546","https://openalex.org/W2067951404","https://openalex.org/W2077555687","https://openalex.org/W2079827489","https://openalex.org/W2082410582","https://openalex.org/W2086527623","https://openalex.org/W2090119255","https://openalex.org/W2095857282","https://openalex.org/W2096152098","https://openalex.org/W2100408728","https://openalex.org/W2101234009","https://openalex.org/W2102614609","https://openalex.org/W2118585731","https://openalex.org/W2134655641","https://openalex.org/W2145577370","https://openalex.org/W2280404143","https://openalex.org/W2333333141","https://openalex.org/W2396881363","https://openalex.org/W2408866005","https://openalex.org/W2468477102","https://openalex.org/W2562568662","https://openalex.org/W2597505554","https://openalex.org/W2771817472","https://openalex.org/W2782117851","https://openalex.org/W2808129629","https://openalex.org/W2889891960","https://openalex.org/W2895393721","https://openalex.org/W2951553997","https://openalex.org/W2962913728","https://openalex.org/W2981427782","https://openalex.org/W2983147088","https://openalex.org/W3101973032","https://openalex.org/W3111698685","https://openalex.org/W3141562538","https://openalex.org/W4298826872","https://openalex.org/W6632766574","https://openalex.org/W6674701899","https://openalex.org/W6675354045","https://openalex.org/W6677656871","https://openalex.org/W6714245873"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W2119024497","https://openalex.org/W2883256220"],"abstract_inverted_index":{"Sepsis":[0],"is":[1,20],"an":[2],"important":[3],"cause":[4],"of":[5,54,102,128],"mortality,":[6],"especially":[7],"in":[8,26,60,124,130],"intensive":[9],"care":[10],"unit(ICU)":[11],"patients.":[12,28,62],"Developing":[13],"novel":[14],"methods":[15],"to":[16,50,85,121,135],"identify":[17],"early":[18],"mortality":[19,56,59,129],"critical":[21],"for":[22],"improving":[23],"survival":[24],"outcomes":[25],"sepsis":[27,61,131],"Using":[29],"the":[30,52,64,108,126,136],"MIMIC-III":[31],"database,":[32],"we":[33,67],"integrated":[34],"demographic":[35],"data,":[36],"physiological":[37],"measurements":[38],"and":[39,44,57,73,78,95,113],"clinical":[40,65,97,115],"notes.":[41],"We":[42],"built":[43],"applied":[45,120],"several":[46],"machine":[47],"learning":[48,76,81],"models":[49],"predict":[51],"risk":[53,127],"hospital":[55],"30-day":[58],"From":[63],"notes,":[66],"generated":[68],"clinically":[69],"meaningful":[70],"word":[71],"representations":[72],"embeddings.":[74],"Supervised":[75],"classifiers":[77],"a":[79],"deep":[80],"architecture":[82],"were":[83],"used":[84],"construct":[86],"prediction":[87],"models.":[88],"The":[89],"configurations":[90],"that":[91,107],"utilized":[92],"both":[93,111],"structured":[94,112],"unstructured":[96,114],"features":[98,116],"yielded":[99],"competitive":[100],"F-measure":[101],"0.512.":[103],"Our":[104],"results":[105],"showed":[106],"approaches":[109],"integrating":[110],"can":[117],"be":[118],"effectively":[119],"assist":[122],"clinicians":[123],"identifying":[125],"patients":[132],"upon":[133],"admission":[134],"ICU.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
