Machine learning and public health policy evaluation: research dynamics and prospects for challenges.

Journal: Frontiers in public health
PMID: 39949555

Abstract

BACKGROUND: Public health policy evaluation is crucial for improving health outcomes, optimizing healthcare resource allocation, and ensuring fairness and transparency in decision-making. With the rise of big data, traditional evaluation methods face new challenges, requiring innovative approaches.

Authors

  • Zhengyin Li
    Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China.
  • Hui Zhou
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Zhen Xu
  • Qingyang Ma
    School of Law, University of Chinese Academy of Social Sciences, Beijing, China.

Keywords

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