Authors

1. Ruksakulpiwat , Suebsarn
2. Thongking , Witchuda
3. Kannan , Naveen
4. Wright , Ellis
5. Niyomyart , Atsadaporn
6. Benjasirisan , Chitchanok
7. Chiaranai , Chantira
8. Smothers , Christine
9. Aldossary , Heba M.
10. Still , Carolyn Harmon

Abstract

Blending traditional statistics with machine learning in this study reveals significant implications for crafting personalized interventions to improve patients’ depression, leading to increased activities of daily living, medication adherence, reduced severity of comorbidities, and ultimately better management of heart conditions.