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Hidehisa Soejima
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2020 – today
- 2023
- [c5]Koutarou Matsumoto
, Yasunobu Nohara, Mikako Sakaguchi, Yohei Takayama, Takanori Yamashita, Hidehisa Soejima, Naoki Nakashima:
Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department Data. MedInfo 2023: 1001-1005 - 2022
- [j2]Takanori Yamashita, Yoshifumi Wakata, Hideki Nakaguma, Yasunobu Nohara
, Shinji Hato, Susumu Kawamura, Shuko Muraoka, Masatoshi Sugita, Mihoko Okada, Naoki Nakashima, Hidehisa Soejima:
Machine learning for classification of postoperative patient status using standardized medical data. Comput. Methods Programs Biomed. 214: 106583 (2022) - [j1]Yasunobu Nohara
, Koutarou Matsumoto, Hidehisa Soejima, Naoki Nakashima:
Explanation of machine learning models using shapley additive explanation and application for real data in hospital. Comput. Methods Programs Biomed. 214: 106584 (2022) - 2021
- [i1]Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, Naoki Nakashima:
Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital. CoRR abs/2112.11071 (2021)
2010 – 2019
- 2019
- [c4]Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, Naoki Nakashima:
Explanation of Machine Learning Models Using Improved Shapley Additive Explanation. BCB 2019: 546 - 2017
- [c3]Takanori Yamashita, Naoya Onimura, Hidehisa Soejima, Naoki Nakashima, Sachio Hirokawa:
Graph Clustering System for Text-Based Records in a Clinical Pathway. MedInfo 2017: 649-652 - 2016
- [c2]Takanori Yamashita, Yoshifumi Wakata, Hidehisa Soejima, Naoki Nakashima, Sachio Hirokawa:
Prediction of Key Patient Outcome from Sentence and Word of Medical Text Records. ClinicalNLP@COLING 2016 2016: 86-90
2000 – 2009
- 2007
- [c1]Naoki Nakashima, Kunihisa Kobayashi, Toyoshi Inoguchi, Daisuke Nishida, Naomi Tanaka, Hiromi Nakazono, Akihiko Hoshino, Hidehisa Soejima, Ryoichi Takayanagi, Hajime Nawata:
A Japanese Model of Disease Management. MedInfo 2007: 1174-1178
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