Machine and Deep Learning in Molecular and Genetic Aspects of Sleep Research.

ABSTRACT: Epidemiological sleep research strives to identify the interactions and causal mechanisms by which sleep affects human health, and to design intervention strategies for improving sleep throughout the lifespan. These goals can be advanced by further focusing on the environmental and genetic etiology of sleep disorders, and by development of risk stratification algorithms, to identify people who are at risk or are affected by, sleep disorders. These studies rely on comprehensive sleep-related data which often contains complex multi-dimensional physiological and molecular measurements across multiple timepoints. Thus, sleep research is well-suited for the application of computational approaches that can handle high-dimensional data. Here, we survey recent advances in machine and deep learning

SUBMITTER: Elgart M 

PROVIDER: S-EPMC8116376 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature