About this document
AI Framework for Circadian Sleep Disorders by Dale Srinivas is a document available to read on EtoBox.
This manuscript introduces a probabilistic and calculus-based AI framework for addressing circadian rhythm sleep–wake disorders, utilizing Bayesian inference and optimal control theory to model and personalize treatment interventions. The proposed AI algorithm, AID-Circadian, processes various input data to generate a tailored circadian rhythm correction plan aimed at improving sleep efficiency and reducing misalignment. The study emphasizes the integration of wearable sensors and actigraphy for high-resolu
- Author
- Dale Srinivas
- Language
- EN