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

The PIM risk prediction model developed using machine-learning can effectively identify PIM, aiding in the implementation of targeted interventions to prevent and reduce the risk of PIM in elderly stroke patients.

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Publication Details

Journal
Frontiers in Pharmacology
Published
2025-05-23
DOI
https://doi.org/10.3389/fphar.2025.1565420
Primary Topic
Neurological Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Manqin Yang, Qianqian Ye, Mengxiang Zhang, Yuewei Xu et al.
Frontiers in Pharmacology
Neurological Disorders and Treatments
article

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

Manqin Yang, Qianqian Ye, Mengxiang Zhang, Yuewei Xu, Xiaodan Yang
article en

Abstract

The PIM risk prediction model developed using machine-learning can effectively identify PIM, aiding in the implementation of targeted interventions to prevent and reduce the risk of PIM in elderly stroke patients.

Frontiers in PharmacologyVol. 16
Anhui University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 85%
Neurological Disorders and Treatments
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