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Hidehisa Soejima

Showing results (1-10 of 19) with videos related to

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Computer Methods and Programs in Biomedicine|December 23, 2021
Explanation of machine learning models using shapley additive explanation and application for real data in hospitalYasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, et al.
Studies in Health Technology and Informatics|January 4, 2018
Graph Clustering System for Text-Based Records in a Clinical PathwayTakanori Yamashita, Naoya Onimura, Hidehisa Soejima, et al.
Stroke|March 27, 2020
Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic StrokeKoutarou Matsumoto, Yasunobu Nohara, Hidehisa Soejima, et al.
Studies in Health Technology and Informatics|January 25, 2024
Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department DataKoutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, et al.
Learning Health Systems|October 20, 2021
A functional learning health system in Japan: Experience with processes and information infrastructure toward continuous health improvementHidehisa Soejima, Kautarou Matsumoto, Naoki Nakashima, et al.
JMIR Perioperative Medicine|October 26, 2023
Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation StudyKoutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, et al.
Journal of the American Heart Association|December 10, 2024
Machine Learning-Based Prediction for In-Hospital Mortality After Acute Intracerebral Hemorrhage Using Real-World Clinical and Image DataKoutarou Matsumoto, Kazuaki Ishihara, Katsuhiko Matsuda, et al.
Nihon Hinyokika Gakkai Zasshi. the Japanese Journal of Urology|February 17, 2007
[Evolution of common clinical path for transurethral resection of prostate (TURP)]Kikuo Okamura, Akihito Terai, Yoshikatsu Nojiri, et al.
Nihon Hinyokika Gakkai Zasshi. the Japanese Journal of Urology|December 13, 2006
[Questionnaire survey of peri-operative management of transurethral prostate resection in Japan]Kikuo Okamura, Yoshikatsu Nojiri, Hidehisa Soejima, et al.
Studies in Health Technology and Informatics|August 8, 2025
EHR-PHR Linkage Platform for Managing Personalized Healthcare Processes Within Clinical PathwaysTakanori Yamashita, Naoichi Sato, Hideki Nakaguma, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Computer Methods and Programs in Biomedicine|December 23, 2021
Explanation of machine learning models using shapley additive explanation and application for real data in hospitalYasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, et al.
Studies in Health Technology and Informatics|January 4, 2018
Graph Clustering System for Text-Based Records in a Clinical PathwayTakanori Yamashita, Naoya Onimura, Hidehisa Soejima, et al.
Stroke|March 27, 2020
Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic StrokeKoutarou Matsumoto, Yasunobu Nohara, Hidehisa Soejima, et al.
Studies in Health Technology and Informatics|January 25, 2024
Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department DataKoutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, et al.
Learning Health Systems|October 20, 2021
A functional learning health system in Japan: Experience with processes and information infrastructure toward continuous health improvementHidehisa Soejima, Kautarou Matsumoto, Naoki Nakashima, et al.
JMIR Perioperative Medicine|October 26, 2023
Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation StudyKoutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, et al.
Journal of the American Heart Association|December 10, 2024
Machine Learning-Based Prediction for In-Hospital Mortality After Acute Intracerebral Hemorrhage Using Real-World Clinical and Image DataKoutarou Matsumoto, Kazuaki Ishihara, Katsuhiko Matsuda, et al.
Nihon Hinyokika Gakkai Zasshi. the Japanese Journal of Urology|February 17, 2007
[Evolution of common clinical path for transurethral resection of prostate (TURP)]Kikuo Okamura, Akihito Terai, Yoshikatsu Nojiri, et al.
Nihon Hinyokika Gakkai Zasshi. the Japanese Journal of Urology|December 13, 2006
[Questionnaire survey of peri-operative management of transurethral prostate resection in Japan]Kikuo Okamura, Yoshikatsu Nojiri, Hidehisa Soejima, et al.
Studies in Health Technology and Informatics|August 8, 2025
EHR-PHR Linkage Platform for Managing Personalized Healthcare Processes Within Clinical PathwaysTakanori Yamashita, Naoichi Sato, Hideki Nakaguma, et al.
Pageof 2