A model for identifying potentially inappropriate medication used in older people with dementia: a machine learning study.

Journal: International journal of clinical pharmacy
PMID: 38980590

Abstract

BACKGROUND: Older adults with dementia often face the risk of potentially inappropriate medication (PIM) use. The quality of PIM evaluation is hindered by researchers' unfamiliarity with evaluation criteria for inappropriate drug use. While traditional machine learning algorithms can enhance evaluation quality, they struggle with the multilabel nature of prescription data.

Authors

  • Qiaozhi Hu
    Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China.
  • Mengnan Zhao
    West China School of Medicine, Sichuan University, Chengdu, China.
  • Fei Teng
    State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Collaborative Innovation Center Chengdu 610041 China yuluot@scu.edu.cn.
  • Gongchao Lin
    School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.
  • Zhaohui Jin
    Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China. jzh-pharmacy@scu.edu.cn.
  • Ting Xu
    Bioresources Green Transformation Collaborative Innovation Center of Hubei Province, College of Life Sciences, Hubei University, Wuhan 430062, Hubei, China.

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