A broadly benchmarked ensemble of deep sleep staging models, trained on a large harmonized data pool, matches or exceeds published state-of-the-art and human-expert consensus alignment on out-of-domain datasets.
Journal of the American Medical Informatics Association 25(10), 1351–1358 (2018)
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SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models
A broadly benchmarked ensemble of deep sleep staging models, trained on a large harmonized data pool, matches or exceeds published state-of-the-art and human-expert consensus alignment on out-of-domain datasets.