Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach.

ABSTRACT:

Introduction

Automated computational assessment of neuropsychological tests would enable widespread, cost-effective screening for dementia.

Methods

A novel natural language processing approach is developed and validated to identify different stages of dementia based on automated transcription of digital voice recordings of subjects' neuropsychological tests conducted by the Framingham Heart Study (n = 1084). Transcribed sentences from the test were encoded into quantitative data and several models were trained and tested using these data and the participants' demographic characteristics.

Results

Average area under the curve (AUC) on the held-out test data reached 92.6%, 88.0%, and 74.4% for differentiating Normal cognition from Dementia, Normal or Mild Cognitive Impai

SUBMITTER: Amini S 

PROVIDER: S-EPMC10148688 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature