{"id":"https://openalex.org/W4410887179","doi":"https://doi.org/10.1109/tkde.2025.3569584","title":"Temporal and Spatial Analysis in Early Sepsis Prediction via Causal Disentanglements","display_name":"Temporal and Spatial Analysis in Early Sepsis Prediction via Causal Disentanglements","publication_year":2025,"publication_date":"2025-05-30","ids":{"openalex":"https://openalex.org/W4410887179","doi":"https://doi.org/10.1109/tkde.2025.3569584"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3569584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3569584","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5100429894","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0001-7129-1456"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Li","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7129-1456","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dongchen Li","orcid":"https://orcid.org/0009-0001-1826-144X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongchen Li","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0001-1826-144X","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001185571","display_name":"Weizhi Nie","orcid":"https://orcid.org/0000-0002-0578-8138"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhi Nie","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0578-8138","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102842587","display_name":"Jiao He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He Jiao","raw_affiliation_strings":["School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637547","display_name":"Zhenhua Wu","orcid":"https://orcid.org/0000-0002-5802-8511"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenhua Wu","raw_affiliation_strings":["School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081485810","display_name":"An-An Liu","orcid":"https://orcid.org/0000-0001-5755-9145"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anan Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5755-9145","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100429894"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.6211,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83620422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"37","issue":"8","first_page":"4860","last_page":"4872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9187999963760376,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054961919784546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4062437415122986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3700748682022095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054961919784546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4062437415122986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3700748682022095}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3569584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3569584","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G6639121901","display_name":null,"funder_award_id":"62272337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1029930422","https://openalex.org/W2045380240","https://openalex.org/W2073316020","https://openalex.org/W2143891888","https://openalex.org/W2158153267","https://openalex.org/W2169437634","https://openalex.org/W2280404143","https://openalex.org/W2575802904","https://openalex.org/W2590538937","https://openalex.org/W2597505554","https://openalex.org/W2604972438","https://openalex.org/W2608823051","https://openalex.org/W2620340731","https://openalex.org/W2750557731","https://openalex.org/W2768146862","https://openalex.org/W2772324540","https://openalex.org/W2909277870","https://openalex.org/W2909362761","https://openalex.org/W2913977338","https://openalex.org/W2956081866","https://openalex.org/W2959928913","https://openalex.org/W2963716420","https://openalex.org/W2980131624","https://openalex.org/W2997568896","https://openalex.org/W3008421095","https://openalex.org/W3011031910","https://openalex.org/W3117020350","https://openalex.org/W3124926562","https://openalex.org/W3131712583","https://openalex.org/W3158067219","https://openalex.org/W3173377275","https://openalex.org/W3184630151","https://openalex.org/W3193078598","https://openalex.org/W3207263213","https://openalex.org/W4200202919","https://openalex.org/W4283793140","https://openalex.org/W4285258280","https://openalex.org/W4292332837","https://openalex.org/W4312825639","https://openalex.org/W4319866170","https://openalex.org/W4380201514","https://openalex.org/W4386026809","https://openalex.org/W4386275801","https://openalex.org/W4387006012","https://openalex.org/W4387623816","https://openalex.org/W4388543716","https://openalex.org/W4390283131","https://openalex.org/W4390494312","https://openalex.org/W4391690583"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Sepsis":[0],"is":[1,18,150,192,240],"one":[2],"of":[3,7,56,61,134,146,171,184,189,197,237,246],"the":[4,51,54,57,63,68,107,136,144,154,166,182,185,195,244,252],"main":[5],"causes":[6],"death":[8],"in":[9,50,67,251],"ICU":[10],"patients,":[11],"and":[12,14,97,114,125,130,174,200,211,229,249],"accurate":[13],"stable":[15],"early":[16,235],"prediction":[17,137,236],"essential":[19],"for":[20,222,234],"clinical":[21,36,121,126,203],"intervention.":[22],"Existing":[23],"methods":[24],"mostly":[25],"rely":[26],"on":[27,106],"traditional":[28],"time":[29,167],"series":[30],"models":[31,156],"(e.g.,":[32,39,157],"LSTM,":[33],"Transformer)":[34],"or":[35],"scoring":[37],"criteria":[38],"SOFA,":[40],"qSOFA),":[41],"but":[42],"face":[43],"two":[44],"major":[45],"challenges:":[46],"1)":[47],"spurious":[48],"correlations":[49],"data":[52,69],"affect":[53],"robustness":[55],"model;":[58],"2)":[59],"Lack":[60],"modeling":[62],"underlying":[64],"causal":[65,190,231],"relationships":[66],"space.":[70],"We":[71],"propose":[72],"a":[73,227],"Serialized":[74],"Causal":[75],"Disentanglement":[76],"Model":[77],"(SCDM)":[78],"that":[79,164],"decouples":[80],"latent":[81],"variables":[82],"into":[83],"sepsis-related":[84],"factors":[85,92],"(<inline-formula":[86,93,100],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[87,94,101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[88,95,102],"notation=\"LaTeX\">$u$</tex-math></inline-formula>),":[89],"other":[90],"disease-related":[91],"notation=\"LaTeX\">$v$</tex-math></inline-formula>),":[96],"irrelevant":[98],"confounders":[99],"notation=\"LaTeX\">$s$</tex-math></inline-formula>":[103],").":[104],"Based":[105],"MIMIC-IV":[108],"v2.2":[109],"dataset":[110],"(3,511":[111],"positive":[112],"samples":[113],"17,538":[115],"negative":[116],"samples),":[117],"SCDM":[118],"took":[119],"patient":[120],"indicators,":[122],"personal":[123],"information,":[124],"notes":[127],"as":[128,206],"input,":[129],"achieved":[131],"an":[132],"AUC":[133],"0.765-0.928in":[135],"task":[138],"48":[139],"to":[140,217,242],"0":[141],"hours":[142,170],"before":[143],"onset":[145],"sepsis.":[147],"The":[148,187],"performance":[149,183],"significantly":[151],"better":[152],"than":[153],"baseline":[155],"Transformer's":[158],"0.662-0.910,":[159],"MGP-AttTCN's":[160],"0.692-0.913).":[161],"Experiments":[162],"show":[163],"optimizing":[165],"window":[168],"(5":[169],"continuous":[172],"observation)":[173],"variable":[175],"selection":[176],"(45":[177],"key":[178,202],"indicators)":[179],"can":[180],"improve":[181],"model.":[186],"effectiveness":[188],"unwinding":[191],"verified":[193],"by":[194],"visualization":[196],"Grad":[198],"CAM":[199],"t-SNE,":[201],"indicators":[204],"such":[205],"platelet":[207],"count,":[208],"lactic":[209],"acid,":[210],"respiratory":[212],"rate":[213],"are":[214],"further":[215],"identified":[216],"provide":[218],"interpretable":[219,230],"decision":[220],"support":[221],"doctors.":[223],"Our":[224],"study":[225],"provides":[226],"high-precision":[228],"disentanglement":[232],"framework":[233],"sepsis,":[238],"which":[239],"expected":[241],"promote":[243],"development":[245],"intelligent":[247],"diagnosis":[248],"treatment":[250],"ICU.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-30T09:04:40.226872","created_date":"2025-10-10T00:00:00"}
