{"id":"https://openalex.org/W7154726527","doi":"https://doi.org/10.48550/arxiv.2604.14532","title":"CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction","display_name":"CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154726527","doi":"https://doi.org/10.48550/arxiv.2604.14532"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.14532","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14532","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.14532","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133913025","display_name":"Honglin Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guo, Honglin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089259796","display_name":"Rihao Chang","orcid":"https://orcid.org/0000-0001-5384-0212"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Rihao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133839885","display_name":"He Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, He","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133910412","display_name":"Weizhi Nie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nie, Weizhi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133899440","display_name":"Zhongheng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhongheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122278174","display_name":"Yuehao Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Yuehao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5133913025"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.862500011920929,"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.862500011920929,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.09690000116825104,"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/T10867","display_name":"Intensive Care Unit Cognitive Disorders","score":0.006899999920278788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7336000204086304},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6513000130653381},{"id":"https://openalex.org/keywords/sepsis","display_name":"Sepsis","score":0.5307999849319458},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5196999907493591},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.4196000099182129},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.36000001430511475},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.3553999960422516}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7336000204086304},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6513000130653381},{"id":"https://openalex.org/C2778384902","wikidata":"https://www.wikidata.org/wiki/Q183134","display_name":"Sepsis","level":2,"score":0.5307999849319458},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5196999907493591},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.4196000099182129},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.41749998927116394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4081999957561493},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.36000001430511475},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3553999960422516},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3395000100135803},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.31540000438690186},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3077999949455261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29919999837875366},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.14532","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14532","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.14532","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14532","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,25,38,178],"of":[2,43],"future":[3,48],"risk":[4],"and":[5,16,76,79,95,104,123,142,152,180,197],"disease":[6],"progression":[7],"in":[8,19,88,150,154,199],"sepsis":[9,24,130],"is":[10,107,139],"clinically":[11,96,200],"important":[12],"for":[13,63],"early":[14],"warning":[15],"timely":[17],"intervention":[18],"intensive":[20],"care.":[21],"However,":[22],"short-window":[23,64],"remains":[26],"challenging,":[27],"because":[28],"shorter":[29,174],"observation":[30,175],"windows":[31],"provide":[32],"limited":[33],"historical":[34],"evidence,":[35],"whereas":[36],"longer":[37,177],"horizons":[39],"reduce":[40],"the":[41,89,111,157],"number":[42],"patient":[44],"trajectories":[45],"with":[46,110,119],"valid":[47],"supervision.":[49],"To":[50,100],"address":[51],"this":[52],"problem,":[53],"we":[54],"propose":[55],"CSRA,":[56],"a":[57,115,128],"Controlled":[58],"Spectral":[59],"Residual":[60],"Augmentation":[61],"framework":[62],"multi-system":[65],"ICU":[66],"time":[67],"series.":[68],"CSRA":[69,106,138,167],"first":[70],"groups":[71],"variables":[72],"by":[73,148],"clinical":[74,192],"systems":[75],"extracts":[77],"system-level":[78],"global":[80],"representations.":[81],"It":[82],"then":[83],"performs":[84],"input-adaptive":[85],"residual":[86],"perturbation":[87],"spectral":[90],"domain":[91],"to":[92],"generate":[93],"structured":[94],"plausible":[97],"trajectory":[98],"variations.":[99],"improve":[101],"augmentation":[102],"stability":[103],"controllability,":[105],"trained":[108],"end-to-end":[109],"downstream":[112,134],"predictor":[113],"under":[114,173],"unified":[116],"objective,":[117],"together":[118],"anchor":[120],"consistency":[121],"loss":[122],"controller":[124],"regularization.":[125],"Experiments":[126],"on":[127,165,189],"MIMIC-IV":[129],"cohort":[131],"across":[132],"multiple":[133],"models":[135],"show":[136],"that":[137],"consistently":[140],"competitive":[141],"often":[143],"superior,":[144],"reducing":[145],"regression":[146],"error":[147],"10.2\\%":[149],"MSE":[151],"3.7\\%":[153],"MAE":[155],"over":[156],"non-augmentation":[158],"baseline,":[159],"while":[160,185],"also":[161,186],"yielding":[162],"consistent":[163],"gains":[164],"classification.":[166],"further":[168],"maintains":[169],"more":[170],"favorable":[171],"performance":[172],"windows,":[176],"horizons,":[179],"smaller":[181],"training":[182],"data":[183],"scales,":[184],"remaining":[187],"effective":[188],"an":[190],"external":[191],"dataset~(ZiGongICUinfection),":[193],"indicating":[194],"stronger":[195],"robustness":[196],"generalizability":[198],"constrained":[201],"settings.":[202]},"counts_by_year":[],"updated_date":"2026-04-18T06:05:20.339008","created_date":"2026-04-18T00:00:00"}