AIMC Topic: Potentially Inappropriate Medication List
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A model for identifying potentially inappropriate medication used in older people with dementia: a machine learning study.
International journal of clinical pharmacy
Jul 9, 2024
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 tradition...
Traditional Methods Hold Their Ground Against Machine Learning in Predicting Potentially Inappropriate Medication Use in Older Adults.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Jul 6, 2024
OBJECTIVES: Machine learning methods have gained much attention in health sciences for predicting various health outcomes but are scarcely used in pharmacoepidemiology. The ability to identify predictors of suboptimal medication use is essential for ...
Potentially inappropriate polypharmacy is an important predictor of 30-day emergency hospitalisation in older adults: a machine learning feature validation study.
Age and ageing
May 31, 2025
BACKGROUND: Machine learning (ML) models in healthcare are crucial for predicting clinical outcomes, and their effectiveness can be significantly enhanced through improvements in accuracy, generalisability, and interpretability. To achieve widespread...
Humans
Machine Learning
Female
Reproducibility of Results
Risk Factors
Hospitalization
Aged
Aged, 80 and over
Male
Risk Assessment
Time Factors
Age Factors
Emergency Service, Hospital
Geriatric Assessment
United Kingdom
Polypharmacy
Inappropriate Prescribing
Potentially Inappropriate Medication List
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