{"id":"https://openalex.org/W3122820077","doi":"https://doi.org/10.1016/j.isci.2021.102106","title":"Assessment of the timeliness and robustness for predicting adult sepsis","display_name":"Assessment of the timeliness and robustness for predicting adult sepsis","publication_year":2021,"publication_date":"2021-01-26","ids":{"openalex":"https://openalex.org/W3122820077","doi":"https://doi.org/10.1016/j.isci.2021.102106","mag":"3122820077","pmid":"https://pubmed.ncbi.nlm.nih.gov/33659874","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7895752"},"language":"en","primary_location":{"id":"doi:10.1016/j.isci.2021.102106","doi":"https://doi.org/10.1016/j.isci.2021.102106","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.isci.2021.102106","pdf_url":"http://www.cell.com/article/S2589004221000742/pdf","source":{"id":"https://openalex.org/S2898358376","display_name":"iScience","issn_l":"2589-0042","issn":["2589-0042"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","doyens","jufo-1","ki-jl-1","norway-1","oarl","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310315673","host_organization_name":"Cell Press","host_organization_lineage":["https://openalex.org/P4310315673","https://openalex.org/P4310320990"],"host_organization_lineage_names":["Cell Press","Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"iScience","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://www.cell.com/article/S2589004221000742/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011032655","display_name":"Yuanfang Guan","orcid":"https://orcid.org/0000-0001-8275-2852","observed_orcids":["https://orcid.org/0000-0001-8275-2852","https://orcid.org/0009-0004-2391-9164"]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210114445","display_name":"Michigan Medicine","ror":"https://ror.org/01zcpa714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114445"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuanfang Guan","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA","Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210114445"]},{"raw_affiliation_string":"Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210114445"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xueqing Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210114445","display_name":"Michigan Medicine","ror":"https://ror.org/01zcpa714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114445"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xueqing Wang","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210114445"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041860806","display_name":"Xianghao Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210114445","display_name":"Michigan Medicine","ror":"https://ror.org/01zcpa714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114445"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianghao Chen","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210114445"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016691617","display_name":"Daiyao Yi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210114445","display_name":"Michigan Medicine","ror":"https://ror.org/01zcpa714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114445"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daiyao Yi","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210114445"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085539729","display_name":"Luyao Chen","orcid":"https://orcid.org/0000-0003-4698-5784","observed_orcids":["https://orcid.org/0000-0003-4698-5784"]},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luyao Chen","raw_affiliation_strings":["UTHealth School of Biomedical Informatics (SBMI), University of Texas, Houston, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-4698-5784","affiliations":[{"raw_affiliation_string":"UTHealth School of Biomedical Informatics (SBMI), University of Texas, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055458864","display_name":"Xiaoqian Jiang","orcid":"https://orcid.org/0000-0001-9933-2205","observed_orcids":["https://orcid.org/0000-0001-9933-2205","https://orcid.org/0009-0000-0712-2164","https://orcid.org/0009-0007-8281-4479"]},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoqian Jiang","raw_affiliation_strings":["UTHealth School of Biomedical Informatics (SBMI), University of Texas, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UTHealth School of Biomedical Informatics (SBMI), University of Texas, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011032655"],"corresponding_institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210114445"],"apc_list":{"value":3000,"currency":"USD","value_usd":3000},"apc_paid":{"value":3000,"currency":"USD","value_usd":3000},"fwci":0.6752,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65881237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"24","issue":"2","first_page":"102106","last_page":"102106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.015699999406933784,"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":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sepsis-prediction","display_name":"sepsis prediction","score":0.8980000019073486},{"id":"https://openalex.org/keywords/early-detection","display_name":"early detection","score":0.5920000076293945},{"id":"https://openalex.org/keywords/adult-patients","display_name":"adult patients","score":0.5920000076293945},{"id":"https://openalex.org/keywords/biomarkers","display_name":"biomarkers","score":0.722000002861023},{"id":"https://openalex.org/keywords/age-differences","display_name":"age differences","score":0.5419999957084656},{"id":"https://openalex.org/keywords/racial-and-gender-differences","display_name":"race and gender differences","score":0.7549999952316284},{"id":"https://openalex.org/keywords/care-environment","display_name":"care environment","score":0.6980000138282776},{"id":"https://openalex.org/keywords/robustness","display_name":"robustness","score":0.4300000071525574},{"id":"https://openalex.org/keywords/vulnerable-populations","display_name":"vulnerable populations","score":0.5070000290870667}],"concepts":[{"id":"https://openalex.org/C2778384902","wikidata":"https://www.wikidata.org/wiki/Q183134","display_name":"Sepsis","level":2,"score":0.8480055332183838},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.5066967606544495},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4828213155269623},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4457356929779053},{"id":"https://openalex.org/C29374701","wikidata":"https://www.wikidata.org/wiki/Q1931388","display_name":"Cause of death","level":3,"score":0.44522330164909363},{"id":"https://openalex.org/C179755657","wikidata":"https://www.wikidata.org/wiki/Q58702","display_name":"Mortality rate","level":2,"score":0.4289677143096924},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3953031003475189},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.3657240867614746},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3382415175437927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3284395933151245},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.28894534707069397},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23615700006484985},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20775103569030762},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.10557636618614197},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.08851698040962219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0877453088760376},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.isci.2021.102106","doi":"https://doi.org/10.1016/j.isci.2021.102106","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.isci.2021.102106","pdf_url":"http://www.cell.com/article/S2589004221000742/pdf","source":{"id":"https://openalex.org/S2898358376","display_name":"iScience","issn_l":"2589-0042","issn":["2589-0042"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","doyens","jufo-1","ki-jl-1","norway-1","oarl","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310315673","host_organization_name":"Cell Press","host_organization_lineage":["https://openalex.org/P4310315673","https://openalex.org/P4310320990"],"host_organization_lineage_names":["Cell Press","Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"iScience","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7895752","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7895752","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"iScience","raw_type":"Text"},{"id":"pmid:33659874","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33659874","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"iScience","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:21ea08ac46c84613a7383249eaf42979","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/21ea08ac46c84613a7383249eaf42979","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"iScience, Vol 24, Iss 2, Pp 102106- (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.isci.2021.102106","doi":"https://doi.org/10.1016/j.isci.2021.102106","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.isci.2021.102106","pdf_url":"http://www.cell.com/article/S2589004221000742/pdf","source":{"id":"https://openalex.org/S2898358376","display_name":"iScience","issn_l":"2589-0042","issn":["2589-0042"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","doyens","jufo-1","ki-jl-1","norway-1","oarl","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310315673","host_organization_name":"Cell Press","host_organization_lineage":["https://openalex.org/P4310315673","https://openalex.org/P4310320990"],"host_organization_lineage_names":["Cell Press","Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"iScience","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.98580002784729,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1446823662","display_name":"CAREER: On-line Service for Predicting Protein Phosphorylation Dynamics Under Unseen Perturbations","funder_award_id":"1452656","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G9000878433","display_name":"Machine Learning for Drug Response Prediction","funder_award_id":"R35GM133346","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3122820077.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1993397663","https://openalex.org/W2001160239","https://openalex.org/W2096073349","https://openalex.org/W2200122354","https://openalex.org/W2280404143","https://openalex.org/W2614741637","https://openalex.org/W2735761750","https://openalex.org/W2776803885","https://openalex.org/W2786635213","https://openalex.org/W2891765533","https://openalex.org/W2892741787","https://openalex.org/W2896398555","https://openalex.org/W2896893468","https://openalex.org/W2910910290","https://openalex.org/W2911824552","https://openalex.org/W2932423054","https://openalex.org/W2938221441","https://openalex.org/W2940553617","https://openalex.org/W2949096139","https://openalex.org/W2974973348","https://openalex.org/W2979781132","https://openalex.org/W2992764683","https://openalex.org/W2995282027","https://openalex.org/W3010986801","https://openalex.org/W6761684989"],"related_works":["https://openalex.org/W2372800617","https://openalex.org/W2776803885","https://openalex.org/W4384925086","https://openalex.org/W3099758890","https://openalex.org/W4406864518","https://openalex.org/W3041152376","https://openalex.org/W2523834880","https://openalex.org/W4401512475","https://openalex.org/W3092005729","https://openalex.org/W4394793199"],"abstract_inverted_index":{"Sepsis":[0,29],"is":[1],"a":[2],"leading":[3],"cause":[4],"of":[5,73,98,127,133],"death":[6,15,135],"among":[7],"inpatients":[8],"at":[9],"hospitals.":[10],"However,":[11],"with":[12],"early":[13,118],"detection,":[14],"rate":[16,136],"can":[17],"drop":[18],"substantially.":[19],"In":[20],"this":[21],"study,":[22],"we":[23],"present":[24],"the":[25,33,40,59,86,96,107,131],"top-performing":[26],"algorithm":[27],"for":[28,117],"II":[30],"prediction":[31,97],"in":[32],"DII":[34],"National":[35],"Data":[36],"Science":[37],"Challenge":[38],"using":[39],"Cerner":[41],"Health":[42],"Facts":[43],"data":[44,78,145],"involving":[45],"more":[46],"than":[47],"100,000":[48],"adult":[49],"patients.":[50],"This":[51,76],"large":[52,77],"sample":[53],"size":[54],"allowed":[55,81],"us":[56,82],"to":[57,70,83,95],"dissect":[58],"predictability":[60],"by":[61,137],"age-groups,":[62],"race,":[63],"genders,":[64],"and":[65,68,110],"care":[66],"settings":[67],"up":[69],"192":[71],"hr":[72],"sepsis":[74,128],"onset.":[75],"collection":[79],"also":[80],"conclude":[84],"that":[85,103,113],"last":[87],"six":[88],"biometric":[89],"records":[90],"on":[91,139],"average":[92],"are":[93,104,114],"informative":[94],"sepsis.":[99],"We":[100],"identified":[101,142],"biomarkers":[102,112],"common":[105],"across":[106],"treatment":[108],"time":[109],"novel":[111],"uniquely":[115],"presented":[116],"prediction.":[119],"The":[120],"algorithms":[121],"showed":[122],"meaningful":[123],"signals":[124],"days":[125],"ahead":[126],"onset,":[129],"supporting":[130],"potential":[132],"reducing":[134],"focusing":[138],"high-risk":[140],"populations":[141],"from":[143],"heterogeneous":[144],"integration.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2021-02-01T00:00:00"}