A Japanese Model of Disease Management. - Naoki Nakashima; Kunihisa Kobayashi; Toyoshi Inoguchi; Daisuke Nishida; Naomi Tanaka; Hiromi Nakazono; Akihiko Hoshino; Hidehisa Soejima; Ryoichi Takayanagi; Hajime Nawata (MedInfo, 2007)

Prediction of Key Patient Outcome from Sentence and Word of Medical Text Records. - Takanori Yamashita; Yoshifumi Wakata; Hidehisa Soejima; Naoki Nakashima; Sachio Hirokawa (ClinicalNLP@COLING 2016, 2016)

Graph Clustering System for Text-Based Records in a Clinical Pathway. - Takanori Yamashita; Naoya Onimura; Hidehisa Soejima; Naoki Nakashima; Sachio Hirokawa (MedInfo, 2017)

Explanation of Machine Learning Models Using Improved Shapley Additive Explanation. - Yasunobu Nohara; Koutarou Matsumoto; Hidehisa Soejima; Naoki Nakashima (BCB, 2019)

Explanation of machine learning models using shapley additive explanation and application for real data in hospital. - Yasunobu Nohara; Koutarou Matsumoto; Hidehisa Soejima; Naoki Nakashima (Comput. Methods Programs Biomed., 2022)

Machine learning for classification of postoperative patient status using standardized medical data. - Takanori Yamashita; Yoshifumi Wakata; Hideki Nakaguma; Yasunobu Nohara; Shinji Hato; Susumu Kawamura; Shuko Muraoka; Masatoshi Sugita; Mihoko Okada; Naoki Nakashima; Hidehisa Soejima (Comput. Methods Programs Biomed., 2022)

Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department Data. - Koutarou Matsumoto; Yasunobu Nohara; Mikako Sakaguchi; Yohei Takayama; Takanori Yamashita; Hidehisa Soejima; Naoki Nakashima (MedInfo, 2023)

Performance of multimodal prediction models for intracerebral hemorrhage outcomes using real-world data. - Koutarou Matsumoto; Masahiro Suzuki; Kazuaki Ishihara; Koki Tokunaga; Katsuhiko Matsuda; Jenhui Chen; Shigeo Yamashiro; Hidehisa Soejima; Naoki Nakashima; Masahiro Kamouchi (Int. J. Medical Informatics, 2025)