{"id":"https://openalex.org/W4408954272","doi":"https://doi.org/10.1186/s12911-025-02984-y","title":"Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings","display_name":"Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4408954272","doi":"https://doi.org/10.1186/s12911-025-02984-y","pmid":"https://pubmed.ncbi.nlm.nih.gov/40155935"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-02984-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02984-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02984-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/s12911-025-02984-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5095965619","display_name":"Xiao-Han Vivian Yap","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136334","display_name":"Chi Mei Medical Center","ror":"https://ror.org/02y2htg06","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210136334"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Xiao-Han Vivian Yap","raw_affiliation_strings":["Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan","institution_ids":["https://openalex.org/I4210136334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041575830","display_name":"Kuan-Chi Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136334","display_name":"Chi Mei Medical Center","ror":"https://ror.org/02y2htg06","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210136334"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Chi Tu","raw_affiliation_strings":["Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan","institution_ids":["https://openalex.org/I4210136334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071340365","display_name":"Nai-Ching Chen","orcid":"https://orcid.org/0000-0002-8534-8705"},"institutions":[{"id":"https://openalex.org/I4210136334","display_name":"Chi Mei Medical Center","ror":"https://ror.org/02y2htg06","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210136334"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Nai-Ching Chen","raw_affiliation_strings":["Department of Nursing, Chi Mei Medical Center, Tainan, 710402, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nursing, Chi Mei Medical Center, Tainan, 710402, Taiwan","institution_ids":["https://openalex.org/I4210136334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058473995","display_name":"Che-Chuan Wang","orcid":"https://orcid.org/0009-0000-7928-0882"},"institutions":[{"id":"https://openalex.org/I4210136334","display_name":"Chi Mei Medical Center","ror":"https://ror.org/02y2htg06","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210136334"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Che-Chuan Wang","raw_affiliation_strings":["Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan","institution_ids":["https://openalex.org/I4210136334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087305766","display_name":"Chia\u2010Jung Chen","orcid":"https://orcid.org/0000-0002-5364-7209"},"institutions":[{"id":"https://openalex.org/I4210136334","display_name":"Chi Mei Medical Center","ror":"https://ror.org/02y2htg06","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210136334"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Jung Chen","raw_affiliation_strings":["Department of Information Systems, Chi Mei Medical Center, Tainan, 710402, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Chi Mei Medical Center, Tainan, 710402, Taiwan","institution_ids":["https://openalex.org/I4210136334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108751951","display_name":"Chung\u2010Feng Liu","orcid":"https://orcid.org/0000-0001-6698-0273"},"institutions":[{"id":"https://openalex.org/I4210136334","display_name":"Chi Mei Medical Center","ror":"https://ror.org/02y2htg06","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210136334"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Feng Liu","raw_affiliation_strings":["Department of Medical Research, Chi Mei Medical Center, Tainan, 710402, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Research, Chi Mei Medical Center, Tainan, 710402, Taiwan","institution_ids":["https://openalex.org/I4210136334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116840749","display_name":"Tee-Tau Eric Nya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136334","display_name":"Chi Mei Medical Center","ror":"https://ror.org/02y2htg06","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210136334"]},{"id":"https://openalex.org/I56019348","display_name":"Chia Nan University of Pharmacy and Science","ror":"https://ror.org/02834m470","country_code":"TW","type":"education","lineage":["https://openalex.org/I56019348"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tee-Tau Eric Nya","raw_affiliation_strings":["Center of General Education, Chia Nan University of Pharmacy and Science, Tainan, 717301, Taiwan. ronaldowen@gmail.com","Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan. ronaldowen@gmail.com","Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of General Education, Chia Nan University of Pharmacy and Science, Tainan, 717301, Taiwan. ronaldowen@gmail.com","institution_ids":["https://openalex.org/I56019348"]},{"raw_affiliation_string":"Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan. ronaldowen@gmail.com","institution_ids":["https://openalex.org/I4210136334"]},{"raw_affiliation_string":"Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan","institution_ids":["https://openalex.org/I4210136334"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ching-Lung Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]},{"id":"https://openalex.org/I4210136334","display_name":"Chi Mei Medical Center","ror":"https://ror.org/02y2htg06","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210136334"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ching-Lung Kuo","raw_affiliation_strings":["Department of Medical Research, Chi Mei Medical Center, Tainan, 710402, Taiwan. kuojinnrung@gmail.com","Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan. kuojinnrung@gmail.com","School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan. kuojinnrung@gmail.com","School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Research, Chi Mei Medical Center, Tainan, 710402, Taiwan. kuojinnrung@gmail.com","institution_ids":["https://openalex.org/I4210136334"]},{"raw_affiliation_string":"Department of Neurosurgery, Chi Mei Medical Center, Tainan, 710402, Taiwan. kuojinnrung@gmail.com","institution_ids":["https://openalex.org/I4210136334"]},{"raw_affiliation_string":"School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan. kuojinnrung@gmail.com","institution_ids":["https://openalex.org/I142974352"]},{"raw_affiliation_string":"School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142974352","https://openalex.org/I4210136334"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":3.9075,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92957537,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"25","issue":"1","first_page":"149","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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":9.999999747378752e-05,"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/T10420","display_name":"Intracranial Aneurysms: Treatment and Complications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/health-informatics","display_name":"Health informatics","score":0.757225751876831},{"id":"https://openalex.org/keywords/intracerebral-hemorrhage","display_name":"Intracerebral hemorrhage","score":0.6049526333808899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4769248366355896},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4675413966178894},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4587888717651367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45723116397857666},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.3700242042541504},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.3524777293205261},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.1996101438999176},{"id":"https://openalex.org/keywords/glasgow-coma-scale","display_name":"Glasgow Coma Scale","score":0.18509209156036377},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.14900565147399902},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.12809720635414124}],"concepts":[{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.757225751876831},{"id":"https://openalex.org/C2777094939","wikidata":"https://www.wikidata.org/wiki/Q1368943","display_name":"Intracerebral hemorrhage","level":3,"score":0.6049526333808899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4769248366355896},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4675413966178894},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4587888717651367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45723116397857666},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.3700242042541504},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.3524777293205261},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.1996101438999176},{"id":"https://openalex.org/C17624336","wikidata":"https://www.wikidata.org/wiki/Q461644","display_name":"Glasgow Coma Scale","level":2,"score":0.18509209156036377},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.14900565147399902},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.12809720635414124}],"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":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","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":"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":"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":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D002543","descriptor_name":"Cerebral Hemorrhage","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"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":"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":"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":"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":true},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"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":"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":"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":"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":"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":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-025-02984-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02984-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02984-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:40155935","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40155935","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:7f990d57e58e48b28666f30e229bb4ff","is_oa":true,"landing_page_url":"https://doaj.org/article/7f990d57e58e48b28666f30e229bb4ff","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 25, Iss 1, Pp 1-14 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:10762718","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11951645","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-025-02984-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02984-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02984-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":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408954272.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W172260869","https://openalex.org/W1664072664","https://openalex.org/W1898928487","https://openalex.org/W1947113872","https://openalex.org/W1964337445","https://openalex.org/W1990748933","https://openalex.org/W2007739294","https://openalex.org/W2028105500","https://openalex.org/W2042762244","https://openalex.org/W2080085539","https://openalex.org/W2096451472","https://openalex.org/W2107978811","https://openalex.org/W2148143831","https://openalex.org/W2166550892","https://openalex.org/W2279709296","https://openalex.org/W2295598076","https://openalex.org/W2328176404","https://openalex.org/W2597418831","https://openalex.org/W2618851150","https://openalex.org/W2768348081","https://openalex.org/W2803306216","https://openalex.org/W2886368623","https://openalex.org/W2911964244","https://openalex.org/W2966659986","https://openalex.org/W2992169932","https://openalex.org/W3083180001","https://openalex.org/W3103602548","https://openalex.org/W3122448963","https://openalex.org/W3127221831","https://openalex.org/W3128761879","https://openalex.org/W3165262234","https://openalex.org/W3216921625","https://openalex.org/W4200429173","https://openalex.org/W4205409019","https://openalex.org/W4205523772","https://openalex.org/W4210648125","https://openalex.org/W4211247746","https://openalex.org/W4226137176","https://openalex.org/W4229332867","https://openalex.org/W4280525956","https://openalex.org/W4280545699","https://openalex.org/W4280566785","https://openalex.org/W4293242440","https://openalex.org/W4297399257","https://openalex.org/W4320183365","https://openalex.org/W4366815458","https://openalex.org/W4382318471","https://openalex.org/W4390807037"],"related_works":["https://openalex.org/W2382193888","https://openalex.org/W2977610179","https://openalex.org/W3206518224","https://openalex.org/W2373845190","https://openalex.org/W2374389456","https://openalex.org/W2359152977","https://openalex.org/W2349137323","https://openalex.org/W3201892963","https://openalex.org/W3125802064","https://openalex.org/W4389465285"],"abstract_inverted_index":{"BACKGROUND:":[0],"Spontaneous":[1],"intracerebral":[2],"hemorrhage":[3],"(SICH)":[4],"is":[5],"a":[6,21],"devastating":[7],"condition":[8],"that":[9],"significantly":[10],"contributes":[11],"to":[12,19,56,76,210],"high":[13],"mortality":[14,22,116,148,243],"rates.":[15],"This":[16,237],"study":[17,71,238],"aims":[18],"construct":[20],"prediction":[23,244],"model":[24,245],"for":[25,246],"patients":[26,50,110],"with":[27,93,115,166,249,273],"SICH":[28,49,109,247],"using":[29,82],"four":[30],"various":[31],"artificial":[32],"intelligence":[33],"(AI)":[34],"machine":[35],"learning":[36],"algorithms.":[37],"METHOD:":[38],"A":[39,105],"retrospective":[40],"analysis":[41],"was":[42],"conducted":[43],"on":[44],"electronic":[45],"medical":[46],"records":[47],"of":[48,95,107],"aged":[51],"20":[52],"and":[53,67,89,98,135,149,175,197,206,216,225,271],"above,":[54],"admitted":[55],"Chi":[57],"Mei":[58],"Medical":[59],"Center\u2019s":[60],"intensive":[61],"care":[62],"unit":[63],"between":[64,147],"January":[65],"2016":[66],"December":[68],"2021.":[69],"The":[70,200,254],"utilized":[72],"37":[73],"features":[74],"related":[75],"mortality.":[77],"Predictive":[78],"models":[79],"were":[80,111,145,164],"developed":[81,240],"logistic":[83],"regression,":[84],"Random":[85],"forest,":[86],"LightGBM,":[87],"XGBoost,":[88],"Multi-layer":[90],"Perceptron":[91],"(MLP),":[92],"assessments":[94],"feature":[96],"importance,":[97],"Area":[99],"under":[100],"the":[101,183,213],"curve":[102],"(AUC).":[103],"RESULTS:":[104],"total":[106],"1451":[108],"enrolled.":[112],"Factors":[113],"associated":[114],"included":[117],"lower":[118],"initial":[119],"GCS":[120,156],"scores":[121],"(p":[122,132,140,222,233],"<":[123,128,133,141,223,234],"0.001),":[124,129,134],"pupillary":[125],"changes":[126],"(P":[127],"kidney":[130],"disease":[131],"respiratory":[136],"failure":[137],"requiring":[138],"intubation":[139],"0.001).":[142,235],"Negative":[143],"correlations":[144,163],"observed":[146],"pupil":[150],"light":[151],"reflexes,":[152],"as":[153,155],"well":[154],"components":[157],"E(r=-0.4602),":[158],"V":[159],"(r=-0.4132),":[160],"M(r=-0.4082).":[161],"Positive":[162],"identified":[165],"vasopressors":[167],"(r":[168,172,178],"=":[169,173,179,188],"0.4464),":[170],"FiO2":[171],"0.3901),":[174],"sedative-hypnotic":[176],"drugs":[177],"0.1178).":[180],"XGBoost":[181,201,250],"demonstrated":[182],"best":[184],"predictive":[185],"performance":[186],"(AUC":[187],"0.913),":[189],"outperforming":[190],"LR":[191],"(0.899),":[192],"RF":[193],"(0.905),":[194],"LightGBM":[195],"(0.909),":[196],"MLP":[198],"(0.892).":[199],"model,":[202,255],"utilizing":[203],"both":[204,212],"18":[205,257],"36":[207],"features,":[208,259],"continues":[209],"outperform":[211],"Acute":[214],"Physiology":[215],"Chronic":[217],"Health":[218],"Evaluation":[219],"(APACHE":[220],"II)":[221],"0.001)":[224],"Sequential":[226],"Organ":[227],"Failure":[228],"Assessment":[229],"(SOFA)":[230],"scoring":[231],"systems":[232],"CONCLUSION:":[236],"successfully":[239],"an":[241],"AI":[242],"patients,":[248],"exhibiting":[251],"superior":[252],"performance.":[253],"incorporating":[256],"key":[258],"has":[260],"been":[261],"integrated":[262],"into":[263],"clinical":[264],"practice":[265],"assisting":[266],"clinicians":[267],"in":[268],"treatment":[269],"decisions":[270],"communication":[272],"patients\u2019":[274],"families.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
