Medication recommendation for Parkinson's disease based on dynamics of symptom progression.

ABSTRACT: Parkinson's Disease (PD) is a chronic condition, with extensive research on initial medication selection for treatment, but limited guidance on long-term medication management. This study aims to identify optimal medication adjustment strategies based on patient clusters, focusing on either maximizing time spent in favorable health states or minimizing time spent in unfavorable ones while avoiding adverse effects. To guide treatment, we developed decision models using prescription dosages converted into standardized units for various medications. Using data from the Parkinson's Progression Markers Initiative, we employed a multivariate time-series clustering approach to capture symptom progression dynamics. This analysis identified four distinct clusters: two representing desirable and und

SUBMITTER: Oh M 

PROVIDER: S-EPMC11499640 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature