Web: http://arxiv.org/abs/2111.08446

May 11, 2022, 1:12 a.m. | Huy Phan, Kaare Mikkelsen

cs.LG updates on arXiv.org arxiv.org

Modern deep learning holds a great potential to transform clinical practice
on human sleep. Teaching a machine to carry out routine tasks would be a
tremendous reduction in workload for clinicians. Sleep staging, a fundamental
step in sleep practice, is a suitable task for this and will be the focus in
this article. Recently, automatic sleep staging systems have been trained to
mimic manual scoring, leading to similar performance to human sleep experts, at
least on scoring of healthy subjects. …

arxiv challenges development future staging

More from arxiv.org / cs.LG updates on arXiv.org

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote

Director of AI/ML Engineering

@ Armis Industries | Remote (US only), St. Louis, California

Digital Analytics Manager

@ Patagonia | Ventura, California