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Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy.

Nature communications Dec 6, 2018
Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy (T1N) currently requires visual inspection of polysomnography records by trained scoring technicians. Here, we used neural networks in approximately 3,000 normal and abn...
Humans Neural Networks, Computer Algorithms Female Aged Young Adult Adult Sensitivity and Specificity Male Middle Aged Adolescent Cohort Studies Narcolepsy Polysomnography Sleep Stages HLA-DQ beta-Chains
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