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Eiichiro Uchino
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2020 – today
- 2024
- [i4]Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno:
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction. CoRR abs/2405.19864 (2024) - 2023
- [j3]Kazuki Nakamura
, Eiichiro Uchino
Individual health-disease phase diagrams for disease prevention based on machine learning. J. Biomed. Informatics 144: 104448 (2023) - [i3]Aya Nakamura, Ryosuke Kojima, Yuji Okamoto, Eiichiro Uchino, Yohei Mineharu, Yohei Harada, Mayumi Kamada, Manabu Muto, Motoko Yanagita, Yasushi Okuno:
A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data. CoRR abs/2307.11487 (2023) - 2022
- [i2]Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima
Individual health-disease phase diagrams for disease prevention based on machine learning. CoRR abs/2205.15598 (2022) - 2021
- [j2]Noriaki Sato
Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data. Comput. Methods Programs Biomed. 206: 106129 (2021) - 2020
- [j1]Eiichiro Uchino, Kanata Suzuki, Noriaki Sato
Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach. Int. J. Medical Informatics 141: 104231 (2020) - [i1]Kazuki Nakamura
Health improvement framework for planning actionable treatment process using surrogate Bayesian model. CoRR abs/2010.16087 (2020)
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