Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study.

ABSTRACT:

Background

In the modern economy, shift work is prevalent in numerous occupations. However, it often disrupts workers' circadian rhythms and can result in shift work sleep disorder. Proper management of shift work sleep disorder involves comprehensive and patient-specific strategies, some of which are similar to cognitive behavioral therapy for insomnia.

Objective

Our goal was to develop and evaluate machine learning algorithms that predict physicians' sleep advice using wearable and survey data. We developed a web- and app-based system to provide individualized sleep and behavior advice based on cognitive behavioral therapy for insomnia for shift workers.

Methods

Data were collected for 5 weeks from shift workers (N=61) in the intensive care unit at 2 hospitals in Ja

SUBMITTER: Shen Y 

PROVIDER: S-EPMC12000788 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature