Art

J-GLOBAL ID：201702248372483725   Reference number：17A1758476

CKD Big Data 医療における人工知能の活用と将来展望

Author (1)： OE KAZUHIKO (東大 大学院医学系研究科 医療情報学分野)
Material： 日本腎臓学会誌  (Japanese Journal of Nephrology)
Volume： 59  Issue： 7  Page： 1060-1063  Publication year： Oct. 25, 2017 
JST Material Number： Z0142A  ISSN： 0385-2385  Document type： Article
Article type： 解説  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： human ,...

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JST classification (1)： Documentation  (GA01020J)

Reference (5)：

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• Litjens G, et al. A survey on deep learning in medical image analysis. arXiv : 1702.05747v2 [cs.CV] https://arxiv.org/pdf/1702.05747.pdf (accessed July30, 2017)
• Esteva A, et al. Dermatologist-level classification of skin cancer with deep neural networks.Nature 2017 ; 542 (7639) : 115-118.
• Miotto R, Li L, Kidd BA, Dudley JT. Deep Patient : An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records, Scientific Rep 2016 ; 6 : 26094.
• Kurasawa H, Hayashi K, Fujino A, Takasugi K, Haga T, Waki K, Noguchi T, Ohe K. Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients with Diabetes. J Diabetes Sci Technol May 2016 ; 10 (3) : 730-736.

Terms in the title (5)： CKD ,  医療 ,  人工知能 ,  活用 ,  将来展望