Trends and Disparities in Parkinson's Disease Mortality in the United States with Predictions Using Machine Learning.

ABSTRACT:

Background

Parkinson's disease (PD) is a progressive neurodegenerative condition characterized by the degradation of dopaminergic pathways in the brain. As the population in the United States continues to age, it is essential to understand the trends in mortality related to PD. This analysis of PD's mortality characterizes temporal shifts, examines demographic and regional differences, and provides machine-learning predictions.

Methods

PD-related deaths in the United States were gathered from CDC WONDER. Age-adjusted mortality rates (AAMR) were collected, and trends were analyzed based on gender, race, region, age, and place of death. Annual percent change and average annual percent change were calculated using Joinpoint Regression program. Forecasts were obtained using the

SUBMITTER: Weresh H 

PROVIDER: S-EPMC11755521 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature