Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing.

ABSTRACT:

Introduction

Previous biomedical studies identified many lifestyle exposures that could possibly represent risk factors for dementia in general or dementia due to Alzheimer's disease (AD). These lifestyle exposures are mainly mentioned in free-text electronic health records (EHRs). However, automatic extraction and assessment of these exposures using EHRs remains understudied.

Methods

A natural language processing (NLP) approach was adopted to extract lifestyle exposures and intervention strategies from the clinical notes of 260 patients with clinical diagnoses of AD dementia and 260 age-matched cognitively unimpaired persons. Statistics of lifestyle exposures were compared between these two groups. The mapping results of the NLP extraction were evaluated by comparing the re

SUBMITTER: Zhou X 

PROVIDER: S-EPMC6750723 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature