Art

J-GLOBAL ID：202002252029674380   Reference number：20A1518907

Sleep Assessment Based on Machine Learning and Toward Sleep Improvement

人工知能技術の医療応用 機械学習による睡眠評価と睡眠改善に向けて

Author (2)： FUKUI KEN'ICHI (大阪大 産科研) ,  KATO TAKAFUMI (大阪大 大学院歯学研究科)
Material： 人工知能  (人工知能学会誌)
Volume： 35  Issue： 4  Page： 495-503  Publication year： Jul. 01, 2020 
JST Material Number： X0330A  ISSN： 2188-2266  Document type： Article
Article type： 解説  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *artificial intelligence system ,...
Semi thesaurus term： factor analysis

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JST classification (2)： Artificial intelligence  (JE08000Z) ,  Preventive medicine in general  (GB01010B)

Reference (77)：

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• [cap] CAP Sleep, https://archive.physionet.org/physiobank/database/capslpdb/
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• [Chambon 18] Chambon, S., Galtier, M. N., Arnal, P. J., Wainrib, G. and Gramfort, A.: A deep learning architecture for temporal sleepstage classification using multivariate and multimodal time series, IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol. 26, No. 4, pp. 758-769 (2018)
• [Cho 14] Cho, K., Merriënboer, van B., Gulcehre, C., Bandanau, D., Bougares, F., Schwenk, H. and Bengio, Y.: Learning phrase representations using RNN encoder-decoder for statistical machine translation, Proc. 2014 Conf. on Empirical Methods in Natural Language Processing (EMNLP), pp. 1724-1734, Association for Computational Linguistics (2014)

Terms in the title (5)： 人工知能技術 ,  医療応用 ,  機械学習 ,  睡眠 ,  評価