A web-based tool for cancer risk prediction for middle-aged and elderly adults using machine learning algorithms and self-reported questions.

Abstract

Authors

• Xingjian Xiao
  School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
• Xiaohan Yi
  , Beijing, China.
• Nyi Nyi Soe
  Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.
• Phyu Mon Latt
  Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.
• Luotao Lin
  Department of Individual, Family, and Community Education, University of New Mexico, Albuquerque, NM, USA.
• Xuefen Chen
  School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
• Hualing Song
  School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China. Electronic address: 99shl@163.com.
• Bo Sun
  College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China. Electronic address: tosunbo@bnu.edu.cn.
• Hailei Zhao
  School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China. Electronic address: Zhao.hailei@shutcm.edu.cn.
• Xianglong Xu
  Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.

Keywords

External Resources