Machine Learning and Prediction of All-Cause Mortality in COPD.

ABSTRACT:

Background

COPD is a leading cause of mortality.

Research question

We hypothesized that applying machine learning to clinical and quantitative CT imaging features would improve mortality prediction in COPD.

Study design and methods

We selected 30 clinical, spirometric, and imaging features as inputs for a random survival forest. We used top features in a Cox regression to create a machine learning mortality prediction (MLMP) in COPD model and also assessed the performance of other statistical and machine learning models. We trained the models in subjects with moderate to severe COPD from a subset of subjects in Genetic Epidemiology of COPD (COPDGene) and tested prediction performance in the remainder of individuals with moderate to severe COPD in COPDGene and Evaluati

SUBMITTER: Moll M 

PROVIDER: S-EPMC7478228 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature