{"id":"https://openalex.org/W4409585215","doi":"https://doi.org/10.1186/s12911-025-02992-y","title":"A machine learning-based severity stratification tool for high altitude pulmonary edema","display_name":"A machine learning-based severity stratification tool for high altitude pulmonary edema","publication_year":2025,"publication_date":"2025-04-18","ids":{"openalex":"https://openalex.org/W4409585215","doi":"https://doi.org/10.1186/s12911-025-02992-y","pmid":"https://pubmed.ncbi.nlm.nih.gov/40251543"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-02992-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02992-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02992-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/s12911-025-02992-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010594212","display_name":"Luobu Gesang","orcid":"https://orcid.org/0009-0008-3269-3362"},"institutions":[{"id":"https://openalex.org/I4210134217","display_name":"Tibet Autonomous Region People's Hospital","ror":"https://ror.org/0476td389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134217"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luobu Gesang","raw_affiliation_strings":["High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China. KelsangNorbu@hotmail.com","Key Laboratory of Transitional Medicine for Human Adaptation to the High-Altitude of Tibet Autonomous Region, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China. KelsangNorbu@hotmail.com","Tibet Autonomous Region Clinical Research Center for High Altitude Diseases, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China. KelsangNorbu@hotmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China. KelsangNorbu@hotmail.com","institution_ids":["https://openalex.org/I4210134217"]},{"raw_affiliation_string":"Key Laboratory of Transitional Medicine for Human Adaptation to the High-Altitude of Tibet Autonomous Region, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China. KelsangNorbu@hotmail.com","institution_ids":["https://openalex.org/I4210134217"]},{"raw_affiliation_string":"Tibet Autonomous Region Clinical Research Center for High Altitude Diseases, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China. KelsangNorbu@hotmail.com","institution_ids":["https://openalex.org/I4210134217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098810005","display_name":"Yangzong Suona","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134217","display_name":"Tibet Autonomous Region People's Hospital","ror":"https://ror.org/0476td389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134217"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangzong Suona","raw_affiliation_strings":["High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China. yanglag0106@gmail.com","Tibet Autonomous Region People's Hospital, Lhasa, 850000, China. yanglag0106@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China. yanglag0106@gmail.com","institution_ids":["https://openalex.org/I4210134217"]},{"raw_affiliation_string":"Tibet Autonomous Region People's Hospital, Lhasa, 850000, China. yanglag0106@gmail.com","institution_ids":["https://openalex.org/I4210134217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092236331","display_name":"Zhuoga Danzeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134217","display_name":"Tibet Autonomous Region People's Hospital","ror":"https://ror.org/0476td389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134217"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoga Danzeng","raw_affiliation_strings":["High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","Tibet Autonomous Region Clinical Research Center for High Altitude Diseases, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]},{"raw_affiliation_string":"Tibet Autonomous Region Clinical Research Center for High Altitude Diseases, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113277226","display_name":"Bai Ci","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134217","display_name":"Tibet Autonomous Region People's Hospital","ror":"https://ror.org/0476td389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134217"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai Ci","raw_affiliation_strings":["High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","Tibet Autonomous Region Clinical Research Center for High Altitude Diseases, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]},{"raw_affiliation_string":"Tibet Autonomous Region Clinical Research Center for High Altitude Diseases, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061459381","display_name":"Quzhen Gesang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134217","display_name":"Tibet Autonomous Region People's Hospital","ror":"https://ror.org/0476td389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134217"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quzhen Gesang","raw_affiliation_strings":["High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","Tibet Autonomous Region Clinical Research Center for High Altitude Diseases, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]},{"raw_affiliation_string":"Tibet Autonomous Region Clinical Research Center for High Altitude Diseases, Tibet Autonomous Region People's Hospital, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014671571","display_name":"Wangjiu Cidan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134217","display_name":"Tibet Autonomous Region People's Hospital","ror":"https://ror.org/0476td389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134217"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"WangJiu Cidan","raw_affiliation_strings":["Tibet Autonomous Region People's Hospital, Lhasa, 850000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tibet Autonomous Region People's Hospital, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115453384","display_name":"Qiangba Dingzeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134217","display_name":"Tibet Autonomous Region People's Hospital","ror":"https://ror.org/0476td389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134217"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangba Dingzeng","raw_affiliation_strings":["High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","Tibet Autonomous Region People's Hospital, Lhasa, 850000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]},{"raw_affiliation_string":"Tibet Autonomous Region People's Hospital, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115453385","display_name":"Zhuoga Baima","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134217","display_name":"Tibet Autonomous Region People's Hospital","ror":"https://ror.org/0476td389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134217"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoga Baima","raw_affiliation_strings":["High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","Tibet Autonomous Region People's Hospital, Lhasa, 850000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Altitude Medical Research Institute of Tibet Autonomous Region, 18 Linkuo North Road, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]},{"raw_affiliation_string":"Tibet Autonomous Region People's Hospital, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092485891","display_name":"Quzhen Zhaxi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134217","display_name":"Tibet Autonomous Region People's Hospital","ror":"https://ror.org/0476td389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134217"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quzhen Zhaxi","raw_affiliation_strings":["Tibet Autonomous Region People's Hospital, Lhasa, 850000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tibet Autonomous Region People's Hospital, Lhasa, 850000, China","institution_ids":["https://openalex.org/I4210134217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010594212","https://openalex.org/A5098810005"],"corresponding_institution_ids":["https://openalex.org/I4210134217"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":1.8905,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84303787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"25","issue":"1","first_page":"171","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11968","display_name":"High Altitude and Hypoxia","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11968","display_name":"High Altitude and Hypoxia","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12402","display_name":"Travel-related health issues","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/high-altitude-pulmonary-edema","display_name":"High-altitude pulmonary edema","score":0.6158769130706787},{"id":"https://openalex.org/keywords/stratification","display_name":"Stratification (seeds)","score":0.5802363753318787},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.5712969303131104},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5054795742034912},{"id":"https://openalex.org/keywords/pulmonary-edema","display_name":"Pulmonary edema","score":0.5028204321861267},{"id":"https://openalex.org/keywords/altitude","display_name":"Altitude (triangle)","score":0.4483885169029236},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"Risk stratification","score":0.44817978143692017},{"id":"https://openalex.org/keywords/effects-of-high-altitude-on-humans","display_name":"Effects of high altitude on humans","score":0.43776294589042664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4174790382385254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3662011921405792},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3019826412200928},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.18001329898834229},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.137269526720047},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.07086044549942017},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.06763136386871338}],"concepts":[{"id":"https://openalex.org/C2779882884","wikidata":"https://www.wikidata.org/wiki/Q1643625","display_name":"High-altitude pulmonary edema","level":4,"score":0.6158769130706787},{"id":"https://openalex.org/C192943249","wikidata":"https://www.wikidata.org/wiki/Q1893382","display_name":"Stratification (seeds)","level":5,"score":0.5802363753318787},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.5712969303131104},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5054795742034912},{"id":"https://openalex.org/C2776468924","wikidata":"https://www.wikidata.org/wiki/Q857667","display_name":"Pulmonary edema","level":3,"score":0.5028204321861267},{"id":"https://openalex.org/C6350597","wikidata":"https://www.wikidata.org/wiki/Q339495","display_name":"Altitude (triangle)","level":2,"score":0.4483885169029236},{"id":"https://openalex.org/C3020404979","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk stratification","level":2,"score":0.44817978143692017},{"id":"https://openalex.org/C8240015","wikidata":"https://www.wikidata.org/wiki/Q918226","display_name":"Effects of high altitude on humans","level":2,"score":0.43776294589042664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4174790382385254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3662011921405792},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3019826412200928},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.18001329898834229},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.137269526720047},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.07086044549942017},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.06763136386871338},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C3527866","wikidata":"https://www.wikidata.org/wiki/Q162267","display_name":"Dormancy","level":3,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C100701293","wikidata":"https://www.wikidata.org/wiki/Q193838","display_name":"Germination","level":2,"score":0.0},{"id":"https://openalex.org/C88548481","wikidata":"https://www.wikidata.org/wiki/Q2397491","display_name":"Seed dormancy","level":4,"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":"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":"D000532","descriptor_name":"Altitude Sickness","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000532","descriptor_name":"Altitude Sickness","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000532","descriptor_name":"Altitude Sickness","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000532","descriptor_name":"Altitude Sickness","qualifier_ui":"Q000175","qualifier_name":"diagnosis","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":"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":"D006976","descriptor_name":"Hypertension, Pulmonary","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D006976","descriptor_name":"Hypertension, Pulmonary","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D006976","descriptor_name":"Hypertension, Pulmonary","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D006976","descriptor_name":"Hypertension, Pulmonary","qualifier_ui":"Q000175","qualifier_name":"diagnosis","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":"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":"D012720","descriptor_name":"Severity of Illness Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012720","descriptor_name":"Severity of Illness Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012720","descriptor_name":"Severity of Illness Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012720","descriptor_name":"Severity of Illness Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-025-02992-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02992-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02992-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:40251543","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40251543","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:81fde248c3ad457da4c77332b380d079","is_oa":true,"landing_page_url":"https://doaj.org/article/81fde248c3ad457da4c77332b380d079","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 1-12 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12008950","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12008950","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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/s12911-025-02992-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02992-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02992-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":0.6000000238418579,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409585215.pdf","grobid_xml":"https://content.openalex.org/works/W4409585215.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1716267428","https://openalex.org/W1994658979","https://openalex.org/W1998189725","https://openalex.org/W2030763573","https://openalex.org/W2112695933","https://openalex.org/W2169527983","https://openalex.org/W2234472895","https://openalex.org/W2610332124","https://openalex.org/W2934399013","https://openalex.org/W3101995378","https://openalex.org/W3156453799","https://openalex.org/W4210447292","https://openalex.org/W4210516664","https://openalex.org/W4211232994","https://openalex.org/W4220996181","https://openalex.org/W4226144946","https://openalex.org/W4229007247","https://openalex.org/W4379230594","https://openalex.org/W4388304645","https://openalex.org/W4402351910","https://openalex.org/W6789338960"],"related_works":["https://openalex.org/W2068615717","https://openalex.org/W2733232270","https://openalex.org/W2318178001","https://openalex.org/W3129094489","https://openalex.org/W1775546741","https://openalex.org/W3119072970","https://openalex.org/W2762835077","https://openalex.org/W4243045912","https://openalex.org/W2415825020","https://openalex.org/W2420697219"],"abstract_inverted_index":{"This":[0,207],"study":[1,186,208],"aimed":[2],"to":[3,16,45,260,271,293],"identify":[4,294],"key":[5],"predictors":[6,86],"for":[7,87,151,214,248,320,324,345],"the":[8,26,65,83,88,117,137,149,188,193,216,233,241,277,295,299,305,326],"severity":[9,156,168,195,217,327],"of":[10,56,123,126,129,134,170,183,192,218,235,279,304,312,328,340,350],"High":[11],"Altitude":[12],"Pulmonary":[13,250],"Edema":[14,251],"(HAPE)":[15],"assist":[17],"clinicians":[18],"in":[19,25,64,145,174,223],"promptly":[20],"recognizing":[21,224],"severely":[22,176],"affected":[23],"patients":[24,58,153,178,270],"emergency":[27],"department,":[28],"thereby":[29],"reducing":[30],"associated":[31],"mortality":[32],"rates.":[33],"Multinomail":[34,92,200,285],"logistic":[35,93,201,286],"regression,":[36,94,287],"random":[37,98,113,159,204,288],"forest,":[38,289],"and":[39,50,77,97,103,131,190,203,232,257,290,301,333,342],"decision":[40,95,291],"tree":[41],"methods":[42,323],"were":[43,62,80,101],"utilized":[44],"determine":[46],"important":[47],"predictor":[48],"variables":[49,69],"evaluate":[51],"model":[52,115,161,197,247],"performance.":[53],"A":[54],"total":[55],"508":[57],"diagnosed":[59],"with":[60,67,120,179,226],"HAPE":[61,152,194,329],"included":[63],"study,":[66],"53":[68],"analyzed.":[70],"Lung":[71],"rales,":[72],"sputum":[73],"sputuming,":[74],"heart":[75],"rate,":[76],"oxygen":[78],"saturation":[79],"identified":[81],"as":[82],"most":[84],"relevant":[85],"LASSO":[89],"model.":[90,297,307],"Subsequently,":[91],"tree,":[96,292],"forest":[99,114,160,205],"models":[100,150],"trained":[102],"evaluated":[104],"using":[105],"these":[106],"factors":[107],"on":[108],"a":[109,210,310],"test":[110],"set.":[111],"The":[112,158,185],"showed":[116],"highest":[118],"performance,":[119],"an":[121,180,338],"accuracy":[122,165],"77.94%,":[124],"precision":[125],"70.27%,":[127],"recall":[128],"68.22%,":[130],"F1":[132],"score":[133],"68.96%,":[135],"outperforming":[136],"other":[138],"models.":[139,206],"Further":[140],"analysis":[141],"revealed":[142],"significant":[143],"differences":[144],"predictive":[146,164],"capabilities":[147],"among":[148],"at":[154,348],"varying":[155],"levels.":[157],"demonstrated":[162],"high":[163,352],"across":[166],"all":[167],"levels":[169],"HAPE,":[171,219,228],"particularly":[172],"excelling":[173],"identifying":[175,346],"ill":[177,269],"impressive":[181],"AUC":[182],"0.86.":[184],"assessed":[187],"reliability":[189],"effectiveness":[191,300],"scoring":[196],"by":[198],"validating":[199],"regression":[202],"introduces":[209],"valuable":[211],"screening":[212],"tool":[213],"categorizing":[215],"aiding":[220],"healthcare":[221],"providers":[222],"individuals":[225,347],"severe":[227],"enabling":[229],"prompt":[230],"treatment":[231],"formulation":[234],"suitable":[236],"therapeutic":[237],"approaches.":[238],"\u2022":[239,253,264,275],"Develop":[240],"first":[242],"machine":[243,281,313],"learning-based":[244],"risk":[245,318,349],"stratification":[246,319],"High-Altitude":[249],"(HAPE).":[252],"Utilize":[254],"multiple":[255],"physiological":[256],"clinical":[258,302],"indicators":[259],"predict":[261],"disease":[262],"severity.":[263],"To":[265],"accurately":[266],"find":[267],"critically":[268],"reduce":[272],"their":[273],"mortality.":[274],"Compare":[276],"performance":[278],"various":[280],"learning":[282,314],"algorithms,":[283],"including":[284],"optimal":[296],"Evaluate":[298],"applicability":[303],"developed":[306],"There":[308,336],"is":[309,337],"scarcity":[311],"approaches":[315],"specifically":[316],"targeting":[317],"HAPE;":[321],"Current":[322],"assessing":[325],"are":[330],"often":[331],"subjective":[332],"lack":[334],"precision;":[335],"absence":[339],"objective":[341],"efficient":[343],"tools":[344],"developing":[351],"altitude":[353],"pulmonary":[354],"edema.":[355]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}