Prediction model for the risk of osteoporosis incorporating factors of disease history and living habits in physical examination of population in Chongqing, Southwest China: based on artificial neural network.

Journal: BMC public health
Published Date: May 26, 2021

Abstract

BACKGROUND: Osteoporosis is a gradually recognized health problem with risks related to disease history and living habits. This study aims to establish the optimal prediction model by comparing the performance of four prediction models that incorporated disease history and living habits in predicting the risk of Osteoporosis in Chongqing adults.

Authors

  • Yuqi Wang
    Graduate School at Shenzhen, Tsinghua University, Shenzhen, Guangdong, P.R. China.
  • Liangxu Wang
    School of Basic Medicine, Kunming Medical University, Kunming, 650031, China.
  • Yanli Sun
    The First Affiliated Hospital of Chongqing Medical University Health Management Center, Chongqing, 400016, China.
  • Miao Wu
    College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hang Zhou, China.
  • Yingjie Ma
    Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.
  • Lingping Yang
    Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.
  • Chun Meng
    Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.
  • Li Zhong
    The First Affiliated Hospital of Chongqing Medical University Health Management Center, Chongqing, 400016, China.
  • Mohammad Arman Hossain
    The First Affiliated Hospital of Chongqing Medical University, Department of Urology, Chongqing, 400016, China.
  • Bin Peng
    Xiangya School of Nursing, Central South University, Changsha, Hunan, China.

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