{"id":"https://openalex.org/W7160879110","doi":"https://doi.org/10.6084/m9.figshare.32237819","title":"Predicting 28-day all-cause mortality in critically ill ischemic stroke patients using white blood cell-to-hemoglobin ratio and dual-feature selection machine learning models","display_name":"Predicting 28-day all-cause mortality in critically ill ischemic stroke patients using white blood cell-to-hemoglobin ratio and dual-feature selection machine learning models","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160879110","doi":"https://doi.org/10.6084/m9.figshare.32237819"},"language":null,"primary_location":{"id":"doi:10.6084/m9.figshare.32237819","doi":"https://doi.org/10.6084/m9.figshare.32237819","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.32237819","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.6084/m9.figshare.32237819","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135832138","display_name":"Hailong Yu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Hailong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066962560","display_name":"Aipeng Hu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Aipeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Huang, Xiaoyun","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Xiaoyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101136731","display_name":"Luhang Tao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Luhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135873285","display_name":"Jing Hang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hang, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Xin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhou, Lulu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Lulu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135850421","display_name":"Ying Chen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135871029","display_name":"Tianwei Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Tianwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135861241","display_name":"Yuping Li","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yuping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135887828","display_name":"Jun Shao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shao, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30235453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11355","display_name":"Inflammatory Biomarkers in Disease Prognosis","score":0.7660999894142151,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T11355","display_name":"Inflammatory Biomarkers in Disease Prognosis","score":0.7660999894142151,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.11140000075101852,"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.09070000052452087,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ischemic-stroke","display_name":"ischemic stroke","score":0.9520000219345093},{"id":"https://openalex.org/keywords/critical-illness","display_name":"critical illness","score":0.7310000061988831},{"id":"https://openalex.org/keywords/28-day-all-cause-mortality","display_name":"28-day all-cause mortality","score":0.9449999928474426},{"id":"https://openalex.org/keywords/prognostic-factors","display_name":"prognostic factors","score":0.8640000224113464},{"id":"https://openalex.org/keywords/inflammation","display_name":"inflammation","score":0.7639999985694885},{"id":"https://openalex.org/keywords/nutrition","display_name":"nutrition","score":0.7730000019073486},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"gradient boosting","score":0.7260000109672546},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"risk stratification","score":0.859000027179718},{"id":"https://openalex.org/keywords/mimic-iv","display_name":"MIMIC-IV","score":0.7870000004768372},{"id":"https://openalex.org/keywords/non-ventilated-patients","display_name":"non-ventilated patients","score":0.8009999990463257}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.8025000095367432},{"id":"https://openalex.org/C68443243","wikidata":"https://www.wikidata.org/wiki/Q2786686","display_name":"Quartile","level":3,"score":0.6207000017166138},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6097000241279602},{"id":"https://openalex.org/C2991859549","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Critically ill","level":2,"score":0.5372999906539917},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.49889999628067017},{"id":"https://openalex.org/C3020199598","wikidata":"https://www.wikidata.org/wiki/Q12202","display_name":"Ischemic stroke","level":3,"score":0.42980000376701355},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4171000123023987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39590001106262207},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.37610000371932983},{"id":"https://openalex.org/C76318530","wikidata":"https://www.wikidata.org/wiki/Q16833590","display_name":"Area under the curve","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3521000146865845},{"id":"https://openalex.org/C3020225094","wikidata":"https://www.wikidata.org/wiki/Q80091","display_name":"Area under curve","level":3,"score":0.34119999408721924},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.328000009059906},{"id":"https://openalex.org/C2989179672","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Clinical decision making","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C198433322","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value of tests","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C201903717","wikidata":"https://www.wikidata.org/wiki/Q1778788","display_name":"Cohort study","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.2919999957084656},{"id":"https://openalex.org/C30036603","wikidata":"https://www.wikidata.org/wiki/Q17125150","display_name":"Severity of illness","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C188816634","wikidata":"https://www.wikidata.org/wiki/Q2113324","display_name":"Prospective cohort study","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C179755657","wikidata":"https://www.wikidata.org/wiki/Q58702","display_name":"Mortality rate","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.258899986743927}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.6084/m9.figshare.32237819","doi":"https://doi.org/10.6084/m9.figshare.32237819","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.32237819","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.6084/m9.figshare.32237819.v1","doi":"https://doi.org/10.6084/m9.figshare.32237819.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.32237819.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.6084/m9.figshare.32237819","doi":"https://doi.org/10.6084/m9.figshare.32237819","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.32237819","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[{"score":0.7761219143867493,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,130],"white":[1],"blood":[2,127],"cell-to-hemoglobin":[3],"ratio":[4],"(WHR)":[5],"is":[6,25,163],"a":[7,116,158,186],"composite":[8],"biomarker":[9],"of":[10,29,167],"inflammation":[11],"and":[12,62,71,79,155],"nutrition,":[13],"but":[14],"its":[15,124],"prognostic":[16],"role":[17],"in":[18,134,170],"critically":[19,171],"ill":[20,172],"ischemic":[21],"stroke":[22],"(IS)":[23],"patients":[24,31,136],"unclear.":[26],"A":[27,93],"cohort":[28],"3,112":[30],"from":[32,39],"MIMIC-IV":[33],"was":[34,37,51,96,132,157],"analyzed.":[35],"WHR":[36,87,95,119,156,162,176],"calculated":[38],"first":[40],"24-hour":[41],"ICU":[42],"lab":[43],"values.":[44],"Its":[45],"association":[46,131],"with":[47,99],"28-day":[48,101],"all-cause":[49],"mortality(ACM)":[50],"assessed":[52],"via":[53],"survival":[54],"analysis,":[55],"Cox":[56],"regression,":[57],"restricted":[58],"cubic":[59],"splines":[60],"(RCS),":[61],"subgroup":[63],"analysis.":[64,82],"Machine":[65,147],"learning":[66],"(ML)":[67],"models":[68,179],"were":[69],"developed":[70],"evaluated":[72],"using":[73],"Receiver":[74],"Operating":[75],"Characteristic":[76],"curve(AUC),":[77],"calibration,":[78],"decision":[80],"curve":[81],"Mortality":[83],"differed":[84],"significantly":[85],"across":[86],"quartiles":[88],"(Log-rank":[89],"p":[90,112,138],"<":[91,113],"0.0001).":[92],"higher":[94],"independently":[97],"associated":[98],"increased":[100],"ACM":[102],"(adjusted":[103],"HR":[104],"per":[105],"SD":[106],"=":[107,121,139,153],"1.42;":[108],"95%":[109],"CI:":[110],"1.22\u20131.65,":[111],"0.001),":[114],"showing":[115],"near-linear":[117],"dose-response.":[118],"(AUC":[120],"0.644)":[122],"outperformed":[123],"components":[125],"(white":[126],"cells,":[128],"hemoglobin).":[129],"stronger":[133],"non-ventilated":[135],"(interaction":[137],"0.003).":[140],"Among":[141],"ML":[142,178],"models,":[143],"the":[144],"Gradient":[145],"Boosting":[146],"(GBM)":[148],"performed":[149],"best":[150],"(test-set":[151],"AUC":[152],"0.814)":[154],"key":[159],"predictive":[160],"feature.":[161],"an":[164],"independent":[165],"predictor":[166],"short-term":[168],"mortality":[169],"IS":[173],"patients.":[174],"Integrating":[175],"into":[177],"like":[180],"GBM":[181],"improves":[182],"risk":[183],"stratification,":[184],"offering":[185],"valuable":[187],"tool":[188],"for":[189],"clinical":[190],"prognosis.":[191]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2026-05-12T00:00:00"}