Machine learning model integrating oral microbiota and clinical features for predicting osteoporosis and bone loss in high-altitude populations.

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Bibliographic Details
Title: Machine learning model integrating oral microbiota and clinical features for predicting osteoporosis and bone loss in high-altitude populations.
Authors: Wang J; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China., Yang F; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China., Hao S; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China., Dong C; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China., Tian Y; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China., Xu Y; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China., Yang S; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.; Health Promotion and Food Nutrition & Safety Key Laboratory of Sichuan Province, Sichuan University, Chengdu, Sichuan, 610041, China., Yang H; West China School of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China., Xiao X; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.; Health Promotion and Food Nutrition & Safety Key Laboratory of Sichuan Province, Sichuan University, Chengdu, Sichuan, 610041, China., Zheng T; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. 1125338361@qq.com., Zuo H; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. zuohaojiang@scu.edu.cn.; Health Promotion and Food Nutrition & Safety Key Laboratory of Sichuan Province, Sichuan University, Chengdu, Sichuan, 610041, China. zuohaojiang@scu.edu.cn.; West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, Sichuan, 610041, China. zuohaojiang@scu.edu.cn.; Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. zuohaojiang@scu.edu.cn., Pei X; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. xxpei@scu.edu.cn.; Health Promotion and Food Nutrition & Safety Key Laboratory of Sichuan Province, Sichuan University, Chengdu, Sichuan, 610041, China. xxpei@scu.edu.cn.; West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, Sichuan, 610041, China. xxpei@scu.edu.cn., Zhao X; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.; Health Promotion and Food Nutrition & Safety Key Laboratory of Sichuan Province, Sichuan University, Chengdu, Sichuan, 610041, China.
Source: BMC microbiology [BMC Microbiol] 2026 Mar 05; Vol. 26 (1). Date of Electronic Publication: 2026 Mar 05.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100966981 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2180 (Electronic) Linking ISSN: 14712180 NLM ISO Abbreviation: BMC Microbiol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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