Development of prognostic model for patients at CKD stage 3a and 3b in South Central China using computational intelligence.

Journal: Clinical and experimental nephrology
Published Date: Aug 1, 2020

Abstract

BACKGROUND: Chronic kidney disease (CKD) stage 3 was divided into two subgroups by eGFR (45 mL/ min 1.73 m). There is difference in prevalence of CKD, racial differences, economic development, genetic, and environmental backgrounds between China and Western countries.

Authors

  • Qiongjing Yuan
    Department of Nephrology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, China.
  • Haixia Zhang
    Department of Nephrology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, China.
  • Yanyun Xie
    Department of Nephrology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, China.
  • Wei Lin
    Department of Geriatric Rehabilitation, Jiangbin Hospital, Nanning, China.
  • Liangang Peng
    Changsha Aeronautical Vocational and Technical College, Changsha, 410014, Hunan, China.
  • Liming Wang
    School of Information and Communication Engineering, North University of China, Taiyuan 030051, China. wlm@nuc.edu.cn.
  • Weihong Huang
    "Mobile Health" Ministry of Education - China Mobile Joint Laboratory, Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Song Feng
    Network Information Center, Xiangya Hospital, Central South University, Xiangya Road, Changsha, 410008, China. fs205@sina.com.
  • Xiangcheng Xiao
    Department of Nephrology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, China.

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