Predicting functional decline and survival in amyotrophic lateral sclerosis.

ABSTRACT:

Background

Better predictors of amyotrophic lateral sclerosis disease course could enable smaller and more targeted clinical trials. Partially to address this aim, the Prize for Life foundation collected de-identified records from amyotrophic lateral sclerosis sufferers who participated in clinical trials of investigational drugs and made them available to researchers in the PRO-ACT database.

Methods

In this study, time series data from PRO-ACT subjects were fitted to exponential models. Binary classes for decline in the total score of amyotrophic lateral sclerosis functional rating scale revised (ALSFRS-R) (fast/slow progression) and survival (high/low death risk) were derived. Data was segregated into training and test sets via cross validation. Learning algorithms were ap

SUBMITTER: Ong ML 

PROVIDER: S-EPMC5390993 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature