Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.

Journal: Frontiers in public health
Published Date:

Abstract

OBJECTIVE: Machine learning (ML) algorithms, as an early branch of artificial intelligence technology, can effectively simulate human behavior by training on data from the training set. Machine learning algorithms were used in this study to predict patient choice tendencies in medical decision-making. Its goal was to help physicians understand patient preferences and to serve as a resource for the development of decision-making schemes in clinical treatment. As a result, physicians and patients can have better conversations at lower expenses, leading to better medical decisions.

Authors

  • Yuwen Lyu
    Institute of Humanities and Social Sciences, Guangzhou Medical University, Guangzhou, China.
  • Qian Xu
    College of Information Science and Engineering, Hunan Normal University, Changsha, P.R. China.
  • Zhenchao Yang
    The Eighth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Junrong Liu
    Institute of Humanities and Social Sciences, Guangzhou Medical University, Guangzhou, China.