{"id":"https://openalex.org/W4407633792","doi":"https://doi.org/10.1186/s12911-025-02922-y","title":"An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records","display_name":"An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W4407633792","doi":"https://doi.org/10.1186/s12911-025-02922-y","pmid":"https://pubmed.ncbi.nlm.nih.gov/39962480"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-02922-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02922-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02922-y","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"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":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02922-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059213600","display_name":"Hongnian Wang","orcid":"https://orcid.org/0000-0002-1035-4123"},"institutions":[{"id":"https://openalex.org/I105086349","display_name":"North Sichuan Medical University","ror":"https://ror.org/05k3sdc46","country_code":"CN","type":"education","lineage":["https://openalex.org/I105086349"]},{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongnian Wang","raw_affiliation_strings":["Key Laboratory of Digital-Intelligent Disease Surveillance and Health Governance, North Sichuan Medical College, Nanchong, 637100, China","School of Management, Jinan University, Guangzhou, 510632, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital-Intelligent Disease Surveillance and Health Governance, North Sichuan Medical College, Nanchong, 637100, China","institution_ids":["https://openalex.org/I105086349"]},{"raw_affiliation_string":"School of Management, Jinan University, Guangzhou, 510632, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110984676","display_name":"Mingyang Zhang","orcid":"https://orcid.org/0000-0003-4740-1197"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Zhang","raw_affiliation_strings":["School of Social Work, Henan Normal University, Xinxiang, 453007, China"],"affiliations":[{"raw_affiliation_string":"School of Social Work, Henan Normal University, Xinxiang, 453007, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022270398","display_name":"Liqiang Mai","orcid":"https://orcid.org/0000-0003-4259-7725"},"institutions":[{"id":"https://openalex.org/I4210145693","display_name":"Guangdong Academy of Medical Sciences","ror":"https://ror.org/0432p8t34","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145693"]},{"id":"https://openalex.org/I4210153930","display_name":"Guangdong Provincial People's Hospital","ror":"https://ror.org/045kpgw45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153930"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyi Mai","raw_affiliation_strings":["Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China"],"affiliations":[{"raw_affiliation_string":"Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China","institution_ids":["https://openalex.org/I4210145693","https://openalex.org/I58200834","https://openalex.org/I4210153930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354056","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-2999-9818"},"institutions":[{"id":"https://openalex.org/I4210145693","display_name":"Guangdong Academy of Medical Sciences","ror":"https://ror.org/0432p8t34","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145693"]},{"id":"https://openalex.org/I4210153930","display_name":"Guangdong Provincial People's Hospital","ror":"https://ror.org/045kpgw45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153930"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. lixin@gdph.org.cn","Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China"],"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. lixin@gdph.org.cn","institution_ids":["https://openalex.org/I4210145693"]},{"raw_affiliation_string":"Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China","institution_ids":["https://openalex.org/I4210145693","https://openalex.org/I58200834","https://openalex.org/I4210153930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076658658","display_name":"Abdelouahab Bellou","orcid":"https://orcid.org/0000-0003-3457-5585"},"institutions":[{"id":"https://openalex.org/I1281415640","display_name":"Global Development Network","ror":"https://ror.org/01arh7995","country_code":"IN","type":"other","lineage":["https://openalex.org/I1281415640"]},{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]},{"id":"https://openalex.org/I4210145693","display_name":"Guangdong Academy of Medical Sciences","ror":"https://ror.org/0432p8t34","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145693"]},{"id":"https://openalex.org/I4210153930","display_name":"Guangdong Provincial People's Hospital","ror":"https://ror.org/045kpgw45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153930"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN","IN","US"],"is_corresponding":false,"raw_author_name":"Abdelouahab Bellou","raw_affiliation_strings":["Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. abellou402@gmail.com","Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, MI, 48201, USA. abellou402@gmail.com","Global Network on Emergency Medicine, Brookline, MA, USA. abellou402@gmail.com","Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. abellou402@gmail.com","Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China"],"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. abellou402@gmail.com","institution_ids":["https://openalex.org/I4210145693"]},{"raw_affiliation_string":"Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, MI, 48201, USA. abellou402@gmail.com","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Global Network on Emergency Medicine, Brookline, MA, USA. abellou402@gmail.com","institution_ids":["https://openalex.org/I1281415640"]},{"raw_affiliation_string":"Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. abellou402@gmail.com","institution_ids":["https://openalex.org/I4210145693"]},{"raw_affiliation_string":"Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China","institution_ids":["https://openalex.org/I4210145693","https://openalex.org/I58200834","https://openalex.org/I4210153930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058133767","display_name":"Lijuan Wu","orcid":"https://orcid.org/0000-0002-5761-5140"},"institutions":[{"id":"https://openalex.org/I4210145693","display_name":"Guangdong Academy of Medical Sciences","ror":"https://ror.org/0432p8t34","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145693"]},{"id":"https://openalex.org/I4210153930","display_name":"Guangdong Provincial People's Hospital","ror":"https://ror.org/045kpgw45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153930"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Wu","raw_affiliation_strings":["Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. wulj1989@163.com","Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. wulj1989@163.com","Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China"],"affiliations":[{"raw_affiliation_string":"Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. wulj1989@163.com","institution_ids":["https://openalex.org/I4210145693"]},{"raw_affiliation_string":"Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China. wulj1989@163.com","institution_ids":["https://openalex.org/I4210145693"]},{"raw_affiliation_string":"Institute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China","institution_ids":["https://openalex.org/I4210145693","https://openalex.org/I58200834","https://openalex.org/I4210153930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059213600"],"corresponding_institution_ids":["https://openalex.org/I105086349","https://openalex.org/I159948400"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":19.2965,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.99018756,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"25","issue":"1","first_page":"84","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9991999864578247,"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":0.9991999864578247,"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9980000257492065,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.973800003528595,"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/interpretability","display_name":"Interpretability","score":0.8458082675933838},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7494041919708252},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6619219779968262},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6547192335128784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6132017374038696},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.5776375532150269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.563982367515564},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4986410140991211},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4863331913948059},{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.4683501124382019},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44988399744033813},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4472183883190155},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4264545440673828},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.08598199486732483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08557784557342529}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8458082675933838},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7494041919708252},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6619219779968262},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6547192335128784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6132017374038696},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.5776375532150269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.563982367515564},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4986410140991211},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4863331913948059},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.4683501124382019},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44988399744033813},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4472183883190155},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4264545440673828},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.08598199486732483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08557784557342529},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004636","descriptor_name":"Emergency Service, Hospital","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017052","descriptor_name":"Hospital Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017052","descriptor_name":"Hospital Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017052","descriptor_name":"Hospital Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017052","descriptor_name":"Hospital Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017052","descriptor_name":"Hospital Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017063","descriptor_name":"Outcome Assessment, Health Care","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017063","descriptor_name":"Outcome Assessment, Health Care","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017063","descriptor_name":"Outcome Assessment, Health Care","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D017063","descriptor_name":"Outcome Assessment, Health Care","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D017063","descriptor_name":"Outcome Assessment, Health Care","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-025-02922-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02922-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02922-y","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"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":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:39962480","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39962480","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,"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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:02a9f8aa0ca3434a802d983c08ceafed","is_oa":true,"landing_page_url":"https://doaj.org/article/02a9f8aa0ca3434a802d983c08ceafed","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 25, Iss 1, Pp 1-15 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11834488","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11834488","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-025-02922-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02922-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02922-y","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"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":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322595","display_name":"Chongqing Medical University","ror":"https://ror.org/017z00e58"},{"id":"https://openalex.org/F4320326228","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39"},{"id":"https://openalex.org/F4320326242","display_name":"Nanfang Hospital","ror":"https://ror.org/01eq10738"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407633792.pdf","grobid_xml":"https://content.openalex.org/works/W4407633792.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1490846006","https://openalex.org/W1795111482","https://openalex.org/W1993019581","https://openalex.org/W2009588584","https://openalex.org/W2014175841","https://openalex.org/W2042571564","https://openalex.org/W2046117455","https://openalex.org/W2051319254","https://openalex.org/W2054346551","https://openalex.org/W2146081758","https://openalex.org/W2152575748","https://openalex.org/W2295598076","https://openalex.org/W2396881363","https://openalex.org/W2582793731","https://openalex.org/W2768348081","https://openalex.org/W2783069129","https://openalex.org/W2900503273","https://openalex.org/W2916168844","https://openalex.org/W2929110666","https://openalex.org/W2952762910","https://openalex.org/W2964696298","https://openalex.org/W2968660376","https://openalex.org/W2973144669","https://openalex.org/W2999615587","https://openalex.org/W3085328889","https://openalex.org/W3119854951","https://openalex.org/W3124310964","https://openalex.org/W3135387830","https://openalex.org/W3157136779","https://openalex.org/W4200451403","https://openalex.org/W4205661592","https://openalex.org/W4211157472","https://openalex.org/W4221104669","https://openalex.org/W4283593236","https://openalex.org/W4313439128","https://openalex.org/W4313888691","https://openalex.org/W4385516639","https://openalex.org/W4387459939","https://openalex.org/W4399237759","https://openalex.org/W4401378925","https://openalex.org/W4402303870"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"The":[0],"multi-step":[1],"FS":[2],"method":[3],"developed":[4],"in":[5,14],"this":[6],"study":[7],"successfully":[8],"reduces":[9],"the":[10,18,27],"dimensionality":[11],"of":[12,20,29],"features":[13],"EMR":[15],"while":[16],"preserving":[17],"accuracy":[19],"clinical":[21],"outcome":[22],"prediction.":[23],"Furthermore,":[24],"it":[25],"improves":[26],"interpretability":[28],"risk":[30],"factors":[31],"by":[32],"incorporating":[33],"expert":[34],"knowledge":[35],"validation.":[36]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}