Identifying Common Disease Trajectories of Progressive Supranuclear Palsy with Electronic Health Records.

ABSTRACT:

Background

Progressive supranuclear palsy (PSP) is a rare neurodegenerative disorder characterized by parkinsonism and impairments in balance, language, and cognition. As an atypical parkinsonism, PSP progresses rapidly, lacks effective treatments, and poses significant caregiving burdens. While prior studies have identified risk factors, they often fail to capture the complex temporal dynamics of co-occurring conditions.

Objectives

To identify common PSP disease trajectories using a computational framework combining machine learning and network analysis.

Methods

We analyzed ICD-10 codes from the University of California Health Data Warehouse to identify significant temporal risk factors and determine diagnostic trajectories. Multi-step trajectories were clustered usi

SUBMITTER: Fu M 

PROVIDER: S-EPMC12528966 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature