why choose us

300×250 Ad Slot

Research Article: Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms

Date Published: 2023-06-22

Abstract:
Polypharmacy (PP) is increasingly common in Iran, and contributes to the substantial burden of drug-related morbidity, increasing the potential for drug interactions and potentially inappropriate medications. Machine learning algorithms (ML) can be employed as an alternative solution for the prediction of PP. Therefore, our study aimed to compare several ML algorithms to predict the PP using the health insurance claims data and choose the best-performing algorithm as a predictive tool for decision-making.

Introduction:
Polypharmacy (PP) refers to the ‘‘administration of many drugs simultaneously and/or the administration of more drugs than is clinically indicated, representing an unnecessary use of drug” [1]. The global definition is available for PP considering the actual number of drugs taken by one person, and in recent studies, intake of five or more medications is a commonly used definition of PP [2]. The prevalence of PP has been investigated in most studies among the elderly (??65 years) population, and the data related…

Read more

300×250 Ad Slot