Joint ensemble learning-based risk prediction of Alzheimer's disease among mild cognitive impairment patients.

Journal: The journal of prevention of Alzheimer's disease
PMID:

Abstract

OBJECTIVE: Due to the recognition for the importance of early intervention in Alzheimer's disease (AD), it is important to focus on prevention and treatment strategies for mild cognitive impairment (MCI). This study aimed to establish a risk prediction model for AD among MCI patients to provide clinical guidance for primary medical institutions.

Authors

  • Tianyuan Guan
    Department of Health Statistics, School of Public Health, Airforce Medical University, Xian, Shaanxi, China; Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xian, Shaanxi, China.
  • Lei Shang
    Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, Xi'an, China.
  • Peng Yang
  • Zhijun Tan
    Department of Health Statistics, School of Public Health, Airforce Medical University, Xian, Shaanxi, China; Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xian, Shaanxi, China.
  • Yue Liu
    School of Athletic Performance, Shanghai University of Sport, Shanghai, China.
  • Chunling Dong
    Department of Health Statistics, School of Public Health, Airforce Medical University, Xian, Shaanxi, China; Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xian, Shaanxi, China.
  • Xueying Li
    Geriatrics Division, Department of Medicine, Peking University First Hospital, Beijing 100034, China.
  • Zuxuan Hu
    Department of Health Statistics, School of Public Health, Airforce Medical University, Xian, Shaanxi, China; Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xian, Shaanxi, China.
  • Haixia Su
    Department of Health Statistics, School of Public Health, Airforce Medical University, Xian, Shaanxi, China; Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xian, Shaanxi, China. Electronic address: suhaixia1225@163.com.
  • Yuhai Zhang
    Department of Health Statistics, School of Public Health, Airforce Medical University, Xian, Shaanxi, China; Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xian, Shaanxi, China. Electronic address: zhyh@fmmu.edu.cn.