Constructing a Personalized Treatment Rule for Initial Therapy in Early Parkinson's Disease.

ABSTRACT:

Background

Dopaminergic therapies such as levodopa and dopamine receptor agonists (DRA) improve motor function in people with Parkinson's disease. These therapies are also linked to the advent of motor complications such as dyskinesias and wearing-off episodes.

Objectives

We illustrate a method that creates a personalized treatment rule that takes patient-specific information and provides a recommended first-line therapy for Parkinson's disease that will provide the best mean improvement in motor function while constraining the probability of a motor complication within the first 2 years of therapy below a level mutually deemed to be the maximum acceptable risk by the patient and clinician.

Methods

We apply a machine learning technique that simultaneously optimizes fo

SUBMITTER: Brehm ZP 

PROVIDER: S-EPMC12824558 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature