Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis.

ABSTRACT:

Background

Disability assessment using the Expanded Disability Status Scale (EDSS) is important to inform treatment decisions and monitor the progression of multiple sclerosis. Yet, EDSS scores are documented infrequently in electronic medical records.

Objective

To validate a machine learning model to estimate EDSS scores for multiple sclerosis patients using clinical notes from neurologists.

Methods

A machine learning model was developed to estimate EDSS scores on specific encounter dates using clinical notes from neurologist visits. The OM1 MS Registry data were used to create a training cohort of 2632 encounters and a separate validation cohort of 857 encounters, all with clinician-recorded EDSS scores. Model performance was assessed using the area under the receiv

SUBMITTER: Alves P 

PROVIDER: S-EPMC9228644 | biostudies-literature | 2022 Apr-Jun

REPOSITORIES: biostudies-literature