年別の研究成果
年別の研究成果
検索結果
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2020
Feature set for a prediction model of diabetic kidney disease progression
Ono, M., Katsuki, T., Makino, M., Haida, K., Suzuki, A. & Tokumasu, R., 16-06-2020, Digital Personalized Health and Medicine - Proceedings of MIE 2020. Pape-Haugaard, L. B., Lovis, C., Madsen, I. C., Weber, P., Nielsen, P. H. & Scott, P. (eds.). IOS Press, p. 1289-1290 2 p. (Studies in Health Technology and Informatics; vol. 270).研究成果: Conference contribution
1 被引用数 (Scopus) -
Interpretation method for continuous glucose monitoring with subsequence time-series clustering
Ono, M., Katsuki, T., Makino, M., Haida, K. & Suzuki, A., 16-06-2020, Digital Personalized Health and Medicine - Proceedings of MIE 2020. Pape-Haugaard, L. B., Lovis, C., Madsen, I. C., Weber, P., Nielsen, P. H. & Scott, P. (eds.). IOS Press, p. 277-281 5 p. (Studies in Health Technology and Informatics; vol. 270).研究成果: Conference contribution
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2018
Risk prediction of diabetic nephropathy via interpretable feature extraction from EHR using convolutional autoencoder
Katsuki, T., Ono, M., Koseki, A., Kudo, M., Haida, K., Kuroda, J., Makino, M., Yanagiya, R. & Suzuki, A., 2018, Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth - Proceedings of MIE 2018. Ugon, A., Karlsson, D., Klein, G. O. & Moen, A. (eds.). IOS Press BV, p. 106-110 5 p. (Studies in Health Technology and Informatics; vol. 247).研究成果: Conference contribution
12 被引用数 (Scopus) -
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps
Katsuki, T., Osogami, T., Koseki, A., Ono, M., Kudo, M., Makino, M. & Suzuki, A., 27-12-2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1085-1090 6 p. 8594948. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).研究成果: Conference contribution