Vocal biomarker predicts fatigue in people with COVID-19: results from the prospective Predi-COVID cohort study.

ABSTRACT:

Objective

To develop a vocal biomarker for fatigue monitoring in people with COVID-19.

Design

Prospective cohort study.

Setting

Predi-COVID data between May 2020 and May 2021.

Participants

A total of 1772 voice recordings were used to train an AI-based algorithm to predict fatigue, stratified by gender and smartphone's operating system (Android/iOS). The recordings were collected from 296 participants tracked for 2 weeks following SARS-CoV-2 infection.

Primary and secondary outcome measures

Four machine learning algorithms (logistic regression, k-nearest neighbours, support vector machine and soft voting classifier) were used to train and derive the fatigue vocal biomarker. The models were evaluated based on the following metrics: area under the curve (A

SUBMITTER: Elbeji A 

PROVIDER: S-EPMC9684280 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature