Development and validation of a machine-learning model for the risk of potentially inappropriate medications in elderly stroke patients.

Journal: Frontiers in pharmacology
Published Date: May 23, 2025

Abstract

OBJECTIVE: To construct a risk prediction model for potentially inappropriate medications (PIM) in elderly stroke patients based on multiple machine-learning algorithms, providing decision support to identify high-risk patients and ensure rational clinical medication use.

Authors

  • Xiaodan Yang
    School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Qianqian Ye
    Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
  • Mengxiang Zhang
    Department of Pharmacy, The second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, China.
  • Yuewei Xu
    Department of Pharmacy, The second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, China.
  • Manqin Yang
    Department of Pharmacy, The second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, China.

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