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Eiichiro Uchino
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 7
Top Topics
Chronic Disease
Intensive Care Unit
Reject Option
Bayesian Model
Top Venues
CoRR
Int. J. Medical Informatics
Comput. Methods Programs Biomed.
J. Biomed. Informatics
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Publications
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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
(2024)
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
(2023)
Kazuki Nakamura
,
Eiichiro Uchino
,
Noriaki Sato
,
Ayano Araki
,
Kei Terayama
,
Ryosuke Kojima
,
Koichi Murashita
,
Ken Itoh
,
Tatsuya Mikami
,
Yoshinori Tamada
,
Yasushi Okuno
Individual health-disease phase diagrams for disease prevention based on machine learning.
J. Biomed. Informatics
144 (2023)
Kazuki Nakamura
,
Eiichiro Uchino
,
Noriaki Sato
,
Ayano Araki
,
Kei Terayama
,
Ryosuke Kojima
,
Koichi Murashita
,
Ken Itoh
,
Tatsuya Mikami
,
Yoshinori Tamada
,
Yasushi Okuno
Individual health-disease phase diagrams for disease prevention based on machine learning.
CoRR
(2022)
Noriaki Sato
,
Eiichiro Uchino
,
Ryosuke Kojima
,
Shusuke Hiragi
,
Motoko Yanagita
,
Yasushi Okuno
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 (2021)
Kazuki Nakamura
,
Ryosuke Kojima
,
Eiichiro Uchino
,
Koichi Murashita
,
Ken Itoh
,
Shigeyuki Nakaji
,
Yasushi Okuno
Health improvement framework for planning actionable treatment process using surrogate Bayesian model.
CoRR
(2020)
Eiichiro Uchino
,
Kanata Suzuki
,
Noriaki Sato
,
Ryosuke Kojima
,
Yoshinori Tamada
,
Shusuke Hiragi
,
Hideki Yokoi
,
Nobuhiro Yugami
,
Sachiko Minamiguchi
,
Hironori Haga
,
Motoko Yanagita
,
Yasushi Okuno
Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.
Int. J. Medical Informatics
141 (2020)