{"id":"https://openalex.org/W4416635922","doi":"https://doi.org/10.1183/13993003.congress-2025.pa4978","title":"Computational phenotyping of COVID-19: Unraveling clinical heterogeneity in a Tunisian cohort.","display_name":"Computational phenotyping of COVID-19: Unraveling clinical heterogeneity in a Tunisian cohort.","publication_year":2025,"publication_date":"2025-09-27","ids":{"openalex":"https://openalex.org/W4416635922","doi":"https://doi.org/10.1183/13993003.congress-2025.pa4978"},"language":"en","primary_location":{"id":"doi:10.1183/13993003.congress-2025.pa4978","doi":"https://doi.org/10.1183/13993003.congress-2025.pa4978","is_oa":false,"landing_page_url":"https://doi.org/10.1183/13993003.congress-2025.pa4978","pdf_url":null,"source":{"id":"https://openalex.org/S4210207896","display_name":"European Respiratory Journal","issn_l":"0903-1936","issn":["0903-1936","1399-3003"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310317833","host_organization_name":"European Respiratory Society","host_organization_lineage":["https://openalex.org/P4310317833"],"host_organization_lineage_names":["European Respiratory Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"M-Health/e-health","raw_type":"proceedings-article"},"volume":null,"type":"conference-abstract","is_traditional":false,"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/A5027606231","display_name":"Ahmed Dhia El Euch","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ahmed Dhia El Euch","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034232635","display_name":"Rahma Gargouri","orcid":"https://orcid.org/0000-0002-3906-9457","observed_orcids":["https://orcid.org/0000-0002-3906-9457"]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rahma Gargouri","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040368570","display_name":"R. Khemekhem","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rim Khemekhem","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044466975","display_name":"N. Kallel","orcid":"https://orcid.org/0000-0002-0622-713X","observed_orcids":["https://orcid.org/0000-0002-0622-713X"]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Nesrine Kallel","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090090650","display_name":"Nour Kallel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Nour Kallel","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104083348","display_name":"Walid Feki","orcid":"https://orcid.org/0000-0003-4262-7963","observed_orcids":["https://orcid.org/0000-0003-4262-7963"]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Walid Feki","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hajer Ayadi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hajer Ayadi","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069005994","display_name":"Ilhem Yangui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ilhem Yangui","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045578204","display_name":"Sameh Msaad","orcid":"https://orcid.org/0000-0003-2880-4548","observed_orcids":["https://orcid.org/0000-0003-2880-4548"]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Sameh Msaad","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111481805","display_name":"Najla Bahloul","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Najla Bahloul","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112577918","display_name":"Nedia Moussa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Nedia Moussa","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065331292","display_name":"Samy Kammoun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110673","display_name":"Hopital Universitaire Hedi Chaker","ror":"https://ror.org/01vqqz948","country_code":"TN","type":"healthcare","lineage":["https://openalex.org/I4210110673"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Samy Kammoun","raw_affiliation_strings":["1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Hedi Chaker Teaching Hospital, Pulmonology Department, Sfax, Tunisia","institution_ids":["https://openalex.org/I4210110673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210110673"],"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":"PA4978","last_page":"PA4978"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7949000000953674,"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":0.7949000000953674,"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/T10041","display_name":"COVID-19 Clinical Research Studies","score":0.20059999823570251,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0006000000284984708,"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/covid-19","display_name":"COVID-19 pandemic","score":0.9919999837875366},{"id":"https://openalex.org/keywords/patient-phenotyping","display_name":"patient phenotyping","score":0.7879999876022339},{"id":"https://openalex.org/keywords/clinical-heterogeneity","display_name":"clinical heterogeneity","score":0.9850000143051147},{"id":"https://openalex.org/keywords/hospitalized-patients","display_name":"hospitalized patients","score":0.6830000281333923},{"id":"https://openalex.org/keywords/electronic-health-records","display_name":"electronic health records","score":0.9380000233650208},{"id":"https://openalex.org/keywords/patient-clustering","display_name":"patient clustering","score":0.5879999995231628},{"id":"https://openalex.org/keywords/prognostic-factors","display_name":"prognostic factors","score":0.7210000157356262},{"id":"https://openalex.org/keywords/critical-illness","display_name":"critical illness","score":0.3160000145435333},{"id":"https://openalex.org/keywords/survival","display_name":"survival","score":0.5109999775886536},{"id":"https://openalex.org/keywords/comorbidity","display_name":"comorbidities","score":0.7020000219345093},{"id":"https://openalex.org/keywords/inflammation","display_name":"inflammation","score":0.628000020980835},{"id":"https://openalex.org/keywords/organ-damage","display_name":"organ damage","score":0.8610000014305115},{"id":"https://openalex.org/keywords/delta-variant","display_name":"Delta variant","score":0.6669999957084656},{"id":"https://openalex.org/keywords/personalized-medicine","display_name":"personalized medicine","score":0.597000002861023}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6621000170707703},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6155999898910522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5993000268936157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5364999771118164},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5254999995231628},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.42820000648498535},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3059999942779541},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28940001130104065},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.28630000352859497},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.2775000035762787},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25859999656677246},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1183/13993003.congress-2025.pa4978","doi":"https://doi.org/10.1183/13993003.congress-2025.pa4978","is_oa":false,"landing_page_url":"https://doi.org/10.1183/13993003.congress-2025.pa4978","pdf_url":null,"source":{"id":"https://openalex.org/S4210207896","display_name":"European Respiratory Journal","issn_l":"0903-1936","issn":["0903-1936","1399-3003"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310317833","host_organization_name":"European Respiratory Society","host_organization_lineage":["https://openalex.org/P4310317833"],"host_organization_lineage_names":["European Respiratory Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"M-Health/e-health","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9763000011444092,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4386139012","https://openalex.org/W4400016410","https://openalex.org/W4282026501","https://openalex.org/W4213440159","https://openalex.org/W4407266905","https://openalex.org/W4388188092","https://openalex.org/W4285213852","https://openalex.org/W7212005926","https://openalex.org/W4388490945","https://openalex.org/W4364357694"],"abstract_inverted_index":{"Background:":[0],"Effective":[1],"management":[2],"of":[3,13,33,48,87,118,159],"COVID-19":[4,26,53,120,181,192],"patients":[5],"necessitated":[6],"robust":[7],"phenotyping":[8],"strategies,":[9],"yet":[10],"the":[11,95],"complexity":[12],"clinical":[14],"data":[15],"posed":[16],"a":[17,196],"significant":[18],"obstacle.":[19],"Aim:":[20],"To":[21],"identify":[22,68],"and":[23,44,59,71,79,105,138,164,194],"characterize":[24],"distinct":[25,110,153,180],"patient":[27,41,72],"phenotypes":[28],"using":[29],"machine":[30,63,99,200],"learning":[31,64,201],"analysis":[32,47,86],"electronic":[34],"health":[35],"records,":[36],"aiming":[37],"to":[38,67,109,176,202],"improve":[39],"personalized":[40,184],"management.":[42],"Patients":[43],"Methods:":[45],"Retrospective":[46],"EHRs":[49],"from":[50,149],"1610":[51],"hospitalized":[52],"patients.":[54],"Supervised":[55],"(logistic":[56],"regression,":[57],"XGBoost)":[58],"unsupervised":[60],"(K-means,":[61],"DBSCAN)":[62],"were":[65],"used":[66],"predictive":[69],"factors":[70],"clusters":[73,133],"based":[74,134],"on":[75,135,146],"clinical,":[76,104],"biological,":[77],"radiological,":[78],"therapeutic":[80],"data.":[81],"Results:":[82],"The":[83],"initial":[84],"exploratory":[85],"2433":[88],"patients,":[89],"stratified":[90],"by":[91],"evolutionary":[92],"outcomes,":[93],"laid":[94],"groundwork":[96],"for":[97,198],"targeted":[98],"learning,":[100,174],"revealing":[101],"key":[102,116],"demographic,":[103],"biological":[106],"variables":[107],"contributing":[108],"phenomic":[111,143],"patterns.":[112],"Logistic":[113],"regression":[114],"identified":[115],"predictors":[117],"critical":[119],"evolution":[121],"(sex,":[122],"delta":[123],"variant,":[124],"renal":[125],"failure,":[126],"imaging":[127],"findings).":[128],"K-means":[129],"clustering":[130],"revealed":[131],"two":[132],"lab":[136],"values":[137,148],"treatment":[139],"durations,":[140],"highlighting":[141],"differential":[142],"expressions.":[144],"DBSCAN":[145],"SHAP":[147],"XGBoost":[150],"distinguished":[151],"four":[152],"phenotypes,":[154,182],"varying":[155],"in":[156],"prognosis,":[157],"length":[158],"stay,":[160],"comorbidities,":[161],"symptoms,":[162],"inflammation,":[163],"organ":[165],"damage.":[166],"Survival":[167],"varied":[168],"significantly":[169],"across":[170],"phenotypes.":[171],"Conclusion:":[172],"Machine":[173],"applied":[175],"EHR":[177],"data,":[178],"delineated":[179],"facilitating":[183],"medicine.":[185],"This":[186],"methodology":[187],"provides":[188],"insights":[189],"into":[190],"potential":[191],"resurgence":[193],"establishes":[195],"framework":[197],"leveraging":[199],"address":[203],"future":[204],"infectious":[205],"disease":[206],"outbreaks.":[207]},"counts_by_year":[],"updated_date":"2026-11-02T09:45:03.842371","created_date":"2025-11-25T00:00:00"}
