A probabilistic disease progression modeling approach and its application to integrated Huntington's disease observational data.

ABSTRACT:

Objective

Chronic diseases often have long durations with slow, nonlinear progression and complex, and multifaceted manifestation. Modeling the progression of chronic diseases based on observational studies is challenging. We developed a framework to address these challenges by building probabilistic disease progression models to enable better understanding of chronic diseases and provide insights that could lead to better disease management.

Materials and methods

We developed a framework to build probabilistic disease progression models using observational medical data. The framework consists of two steps. The first step determines the number of disease states. The second step builds a probabilistic disease progression model with the determined number of states. The model d

SUBMITTER: Sun Z 

PROVIDER: S-EPMC6951948 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature