Preliminary study: Data analytics for predicting medication adherence in Malaysian arthritis patients.

ABSTRACT:

Objective

In multi-ethnic Malaysian populations, understanding and improving medication adherence in arthritis patients is crucial for enhancing treatment outcomes. Non-adherence, whether intentional or due to complex factors, can lead to severe long-term consequences such as increased disability and disease progression. This study analysed and predicted Malaysian arthritis medication adherence using 13 machine learning models.

Methods

A majority of 151 responders (82.1%) were female and 58.3% had comorbid illnesses. Notably, 90.07% of respondents were non-adherence to their prescription, with significant differences by occupation and aids in medication. This study's machine learning models perform better with recursive feature elimination for feature selection. Key variable

SUBMITTER: Aziz F 

PROVIDER: S-EPMC11848903 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature