Artificial neural network optimizes self-examination of osteoporosis risk in women.

Journal: The Journal of international medical research
Published Date:

Abstract

OBJECTIVE: This study aimed to investigate the application of an artificial neural network (ANN) in optimizing the Osteoporosis Self-Assessment Tool for Asians (OSTA) score.

Authors

  • Jia Meng
    Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, China.
  • Ning Sun
    State Key Laboratory of Chirosciences and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China.
  • Yali Chen
    3 Department of Spine Surgery, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.
  • Zhangming Li
    Department of Pharmacy Administration, Harbin Medical University, Harbin, P. R., China.
  • Xiaomeng Cui
    5 School of Measurement-Control Tech & Communications Engineering, Harbin University of Science and Technology, Harbin, China.
  • Jingxue Fan
    1 Department of General Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Hailing Cao
    1 Department of General Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Wangping Zheng
    3 Department of Spine Surgery, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.
  • Qiying Jin
    3 Department of Spine Surgery, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.
  • Lihong Jiang
    Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China.
  • Wenliang Zhu
    Institute of Clinical Pharmacology, the Second Affiliated Hospital of Harbin Medical University, Harbin, P. R., China.