Yohei Yamasaki, Osamu Sugiyama, Shusuke Hiragi, Shosuke Ohtera, Goshiro Yamamoto, Hiroshi Sasaki, Kazuya Okamoto, Masayuki Nambu, Tomohiro Kuroda. Early Nephrosis Detection Based on Deep Learning with Clinical Time-Series Data. In Lucila Ohno-Machado, Brigitte Séroussi, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics, Lyon, France, 25-30 August 2019. Volume 264 of Studies in Health Technology and Informatics, pages 1596-1597, IOS Press, 2019. [doi]
@inproceedings{YamasakiSHOYSON19,
title = {Early Nephrosis Detection Based on Deep Learning with Clinical Time-Series Data},
author = {Yohei Yamasaki and Osamu Sugiyama and Shusuke Hiragi and Shosuke Ohtera and Goshiro Yamamoto and Hiroshi Sasaki and Kazuya Okamoto and Masayuki Nambu and Tomohiro Kuroda},
year = {2019},
doi = {10.3233/SHTI190552},
url = {https://doi.org/10.3233/SHTI190552},
researchr = {https://researchr.org/publication/YamasakiSHOYSON19},
cites = {0},
citedby = {0},
pages = {1596-1597},
booktitle = {MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics, Lyon, France, 25-30 August 2019},
editor = {Lucila Ohno-Machado and Brigitte Séroussi},
volume = {264},
series = {Studies in Health Technology and Informatics},
publisher = {IOS Press},
isbn = {978-1-64368-003-3},
}