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

Qiaozhi HuMengnan ZhaoFei TengGongchao LinZhaohui JinTing Xu
Published in: International journal of clinical pharmacy (2024)
This research introduces a pioneering CC + CatBoost warning model for PIMs in older dementia patients, utilizing machine-learning techniques. This model enables a quick and precise identification of PIMs, simplifying the manual evaluation process.
Keyphrases
  • machine learning
  • physical activity
  • ejection fraction
  • newly diagnosed
  • healthcare
  • artificial intelligence
  • mild cognitive impairment
  • big data
  • emergency department
  • adverse drug