Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.

Journal: International journal of medical informatics
Published Date: Feb 22, 2021

Abstract

BACKGROUND: Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics without early diagnosis or standard treatment may contribute to serious multisystem complications, which can be life threatening. Timely detection and intervention of prediabetes is very important to prevent diabetes, because it is inevitable in the development and progress of the disease.

Authors

  • Jun Li
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.
  • Qingguang Chen
    Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
  • Xiaojuan Hu
    Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Pei Yuan
    School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Longtao Cui
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Liping Tu
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Ji Cui
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Jingbin Huang
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Tao Jiang
    Department of Respiratory and Critical Care Medicine, Center for Respiratory Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
  • Xuxiang Ma
    School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Xinghua Yao
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.
  • Changle Zhou
    Cognitive Science Department, Xiamen University, Xiamen, China.
  • Hao Lu
    Huazhong University of Science and Technology, Wuhan, China.
  • Jiatuo Xu
    Basic Medical College, Shanghai University of Traditional Chinese Medicine, Pudong, China.

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