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Quasi-Supervised Scoring of Human Sleep in Polysomnograms Using Augmented Input Variables: Quasi-supervised scoring of human sleep
The limitations of manual sleep scoring make computerized methods highly desirable. Scoring errors can arise from human rater uncertainty or inter-rater variability. Sleep scoring algorithms either come as supervised classifiers that need scored samples of each state to be trained, or as unsupervise...
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| 出版年: | Comput Biol Med |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4447106/ https://ncbi.nlm.nih.gov/pubmed/25679475 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2015.01.012 |
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