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A Machine Learning-Based Preclinical Osteoporosis Screening Tool (POST): Model Development and Validation Study.
Yang, Qingling; Cheng, Huilin; Qin, Jing; Loke, Alice Yuen; Ngai, Fei Wan; Chong, Ka Chun; Zhang, Dexing; Gao, Yang; Wang, Harry Haoxiang; Liu, Zhaomin; Hao, Chun; Xie, Yao Jie.
Affiliation
  • Yang Q; School of Nursing, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Cheng H; School of Nursing, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Qin J; School of Nursing, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Loke AY; School of Nursing, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Ngai FW; School of Nursing, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Chong KC; The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Zhang D; The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Gao Y; Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong SAR, China.
  • Wang HH; School of Public Health, Sun Yat-Sen University, Guangzhou, China.
  • Liu Z; College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, United Kingdom.
  • Hao C; School of Public Health, Sun Yat-Sen University, Guangzhou, China.
  • Xie YJ; School of Public Health, Sun Yat-Sen University, Guangzhou, China.
JMIR Aging ; 6: e46791, 2023 Nov 08.
Article in En | MEDLINE | ID: mdl-37986117

Full text: 1 Database: MEDLINE Language: En Journal: JMIR Aging Year: 2023 Type: Article Affiliation country: China

Full text: 1 Database: MEDLINE Language: En Journal: JMIR Aging Year: 2023 Type: Article Affiliation country: China