Nohara Yasunobu 野原康伸

Researcher Number	30624829
Other IDs	https://orcid.org/0000-0002-2805-6597
Affiliation (Current)	2024: 熊本大学, 大学院先端科学研究部(工), 准教授
Affiliation (based on the past Project Information) *help	2023 – 2024: 熊本大学, 大学院先端科学研究部(工), 准教授 2019 – 2022: 熊本大学, 大学院先端科学研究部(工), 特任准教授 2018 – 2019: 九州大学, 大学病院, 助教
Review Section/Research Field	Principal Investigator Basic Section 62010:Life, health and medical informatics-related / Basic Section 61030:Intelligent informatics-related Except Principal Investigator Basic Section 58010:Medical management and medical sociology-related / Basic Section 56010:Neurosurgery-related / Medium-sized Section 62:Applied informatics and related fields / Basic Section 58060:Clinical nursing-related
Keywords	Principal Investigator 解釈手法 / 機械学習 / 診療テキスト / クリニカルパス / 大規模言語モデル / 階層モデル / 統計的仮説検定法 / 変数重要度 / 説明性の定量化 / シャプレー値 … More Except Principal Investigator … More テキスト解析 / Learning Health System / 診療記録 / BERT / DPCファイル / 診療テキスト / クリニカルパス / Artifical intelligence / Stroke / Artificial intelligence / Learning healthcare / 人工知能 / 脳卒中 / 心臓病 / PHR / RNA増幅法 / 耐性変異 / 逆転写酵素 / データベース / 画像処理 / 温度勾配ゲル電気泳動 / 変異 / SARS-CoV-19 / エイズ / HIV-1 / ゲノムプロフィリング / 看護 / がん / 胃がん / システム / ePRO / Patient reported outcome / ePRO評価システム / colorectal cancer / gastric cancer / patient reported outcome / 消化器がん / QOL / e-PRO / PRO / 糖尿病 / 生活の質（QOL） Less

Verification and improvement of Large Language Models utilizing structured medical data, and development of a method for explaining model outputsPrincipal Investigator
- Principal Investigator
  
  野原康伸
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Kumamoto University
The Practice and Evaluation of LHS using Clinical Pathways and Electronic Medical Records
- Principal Investigator
  
  山下貴範
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 58010:Medical management and medical sociology-related
- Research Institution
  Kyushu University
A Study on Statistical Interpretation Methods for Machine Learning Results Using Shapley ValuesPrincipal Investigator
- Principal Investigator
  
  野原康伸
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Kumamoto University
Validation of electric patient reported outcome system for Gastrointestinal Cancer Patients with Diabetes Mellitus
- Principal Investigator
  
  伊豆倉理江子
- Project Period (FY)
  2018 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 58060:Clinical nursing-related
- Research Institution
  University of Miyazaki
  Kyushu University
Rapid detection of mutation in HIV-1 reverse transcriptase gene by temperature gradient gel electrophoresis
- Principal Investigator
  
  YASUKAWA Kiyoshi
- Project Period (FY)
  2018 – 2022
- Research Category
  
  Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
- Review Section
  
  Medium-sized Section 62:Applied informatics and related fields
- Research Institution
  Kyoto University
111
- Principal Investigator
  
  Iihara Koji
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 56010:Neurosurgery-related
- Research Institution
  National Cardiovascular Center Research Institute
  Kyushu University

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department Data2024
- Author(s)
  Matsumoto Koutarou、Nohara Yasunobu、Sakaguchi Mikako、Takayama Yohei、Yamashita Takanori、Soejima Hidehisa、Nakashima Naoki
- Journal Title
  
  Studies in Health Technology and Informatics
  
  Volume: 2023 Pages: 1001-1005
- DOI
  10.3233/shti231115
- ISBN
  9781643684567, 9781643684574
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K11938, KAKENHI-PROJECT-21K18312
[Journal Article] Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study2024
- Author(s)
  Fumi Irie, Koutarou Matsumoto, Ryu Matsuo, Yasunobu Nohara, Yoshinobu Wakisaka, Tetsuro Ago, Naoki Nakashima, Takanari Kitazono, Masahiro Kamouchi
- Journal Title
  
  JMIR AI
  
  Volume: 3 Pages: e46840-e46840
- DOI
  10.2196/46840
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K19648, KAKENHI-PROJECT-22K10386, KAKENHI-PROJECT-20K11938
[Journal Article] Delirium Prediction Using Machine Learning Interpretation Method and Its Incorporation into a Clinical Workflow2023
- Author(s)
  Matsumoto Koutarou、Nohara Yasunobu、Sakaguchi Mikako、Takayama Yohei、Fukushige Shota、Soejima Hidehisa、Nakashima Naoki
- Journal Title
  
  Applied Sciences
  
  Volume: 13 Issue: 3 Pages: 1564-1564
- DOI
  10.3390/app13031564
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K11938, KAKENHI-PROJECT-22K17336, KAKENHI-PROJECT-21K18312
[Journal Article] Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation Study2023
- Author(s)
  Koutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, Yohei Takayama, Syota Fukushige, Hidehisa Soejima, Naoki Nakashima, Masahiro Kamouchi
- Journal Title
  
  JMIR Perioperative Medicine
  
  Volume: 6 Pages: e50895-e50895
- DOI
  10.2196/50895
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17336, KAKENHI-PROJECT-22K10416, KAKENHI-PROJECT-20K11938, KAKENHI-PROJECT-21K18312
[Journal Article] Non-linear association between body weight and functional outcome after acute ischemic stroke2023
- Author(s)
  Wakisaka Kayo、Matsuo Ryu、Matsumoto Koutarou、Nohara Yasunobu、Irie Fumi、Wakisaka Yoshinobu、Ago Tetsuro、Nakashima Naoki、Kamouchi Masahiro、Kitazono Takanari
- Journal Title
  
  Scientific Reports
  
  Volume: 13 Issue: 1 Pages: 8697-8697
- DOI
  10.1038/s41598-023-35894-y
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K10330, KAKENHI-PROJECT-22K10386, KAKENHI-PROJECT-18K09944, KAKENHI-PROJECT-20K11938, KAKENHI-PROJECT-21K18312, KAKENHI-PROJECT-23K21506
[Journal Article] 標準化クリニカルパス「ePath」を基盤としたアウトカム予測とクリティカルインディケータ探索手法2023
- Author(s)
  藤沙織、松本晃太郎、山下貴範、若田好史、野原康伸、橋之口朝仁、木下郁彦、竹中朋祐、鴨打正浩、中島直樹
- Journal Title
  
  医療情報学（第43回医療情報学連合大会論文集）
  
  Volume: 43 Pages: 915-918
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K10416
[Journal Article] 医師の働き方改革を目的としたLearning Health System 構築- ePath データの活用事例 -2023
- Author(s)
  松本晃太郎、若田好史、野原康伸、中熊英貴、小妻幸男、管田塁、山下貴範、的場哲哉、坂本和生、橋之口朝仁、木下郁彦、竹中朋祐、荒木千恵子、劔卓夫、堀尾英治、岩谷和法、羽藤慎二、重松久之、山下素弘、村岡修子、杉田匡聡、副島秀久、中島直樹
- Journal Title
  
  医療情報学（第43回医療情報学連合大会論文集）
  
  Volume: 43 Pages: 910-914
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K10416
[Journal Article] Communications through contemporary tools of information and communication technology: Health among separated family members2022
- Author(s)
  Nishikitani M, Ariyoshi M, Nohara Y, Umihara J
- Journal Title
  
  JMIR Formative Research
  
  Volume: - Issue: 8 Pages: e34949-e34949
- DOI
  10.2196/34949
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K12142, KAKENHI-PROJECT-20K11938
[Journal Article] ePath における取組みと普及に向けた展望2022
- Author(s)
  山下貴範、中熊英貴、嶋田元、松本崇志、野原康伸、中島直樹、副島秀久
- Journal Title
  
  医療情報学（第42回医療情報学連合大会論文集）
  
  Volume: 42 Pages: 283-288
- Data Source
  KAKENHI-PROJECT-22K10416
[Journal Article] Machine Learning for Classification of Postoperative Patient Status Using Standardized Medical Data2022
- Author(s)
  Takanori Yamashita, Yoshifumi Wakata, Hideki Nakaguma, Yasunobu Nohara, Shinj Hato, Susumu Kawamura, Shuko Muraoka, Masatoshi Sugita, Mihoko Okada, Naoki Nakashima, Hidehisa Soejima
- Journal Title
  
  Computer Methods and Programs in Biomedicine
  
  Volume: 214 Pages: 106583-106583
- DOI
  10.1016/j.cmpb.2021.106583
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K11938
[Journal Article] Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital2022
- Author(s)
  Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, Naoki Nakashima
- Journal Title
  
  Computer Methods and Programs in Biomedicine
  
  Volume: 214 Pages: 106584-106584
- DOI
  10.1016/j.cmpb.2021.106584
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11938
[Journal Article] Portable Health Clinic for Sustainable Care of Mothers and Newborns in Rural Bangladesh2021
- Author(s)
  Kimiyo Kikuchi, Yoko Sato, Rieko Izukura, Mariko Nishikitani, Kiyoko Kato, Seiichi Morokuma, Meherun Nessa, Yasunobu Nohara, Fumihiko Yokota, Ashir Ahmed, Rafiqul Islam Maruf, Naoki Nakashima
- Journal Title
  
  Computer Methods and Programs in Biomedicine
  
  Volume: 207 Pages: 106156-106156
- DOI
  10.1016/j.cmpb.2021.106156
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11938
[Journal Article] 患者状態把握を目的とした機械学習と共起有向グラフによる診療プロセス解析2021
- Author(s)
  山下貴範, 若田好史, 中熊英貴, 野原康伸, 岡田美保子, 中島直樹, 副島秀久
- Journal Title
  
  医療情報学
  
  Volume: 41 Pages: 29-37
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11938
[Journal Article] Association of serum bilirubin levels with risk of cancer development and total death2021
- Author(s)
  Toyoshi Inoguchi, Yasunobu Nohara, Chinatsu Nojiri and Naoki Nakashima
- Journal Title
  
  Scientific Reports
  
  Volume: 11 Issue: 1
- DOI
  10.1038/s41598-021-92442-2
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K11938
[Journal Article] Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic Stroke2020
- Author(s)
  Matsumoto Koutarou、Nohara Yasunobu、Soejima Hidehisa、Yonehara Toshiro、Nakashima Naoki、Kamouchi Masahiro
- Journal Title
  
  Stroke
  
  Volume: 51 Issue: 5 Pages: 1477-1483
- DOI
  10.1161/strokeaha.119.027300
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11938, KAKENHI-PROJECT-17H04143
[Journal Article] A functional learning health system in Japan: Experience with processes and information infrastructure toward continuous health improvement2020
- Author(s)
  Soejima Hidehisa、Matsumoto Koutarou、Nakashima Naoki、Nohara Yasunobu、Yamashita Takanori、Machida Jiro、Nakaguma Hideki
- Journal Title
  
  Learning Health Systems
  
  Volume: e10252 Issue: 4 Pages: 1-12
- DOI
  10.1002/lrh2.10252
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11938
[Presentation] Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department Data2023
- Author(s)
  Matsumoto Koutarou、Nohara Yasunobu、Sakaguchi Mikako、Takayama Yohei、Yamashita Takanori、Soejima Hidehisa、Nakashima Naoki
- Organizer
  MedInfo2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11938
[Presentation] Explanation of Machine Learning Models Using SHAP Considering Interaction Effects2022
- Author(s)
  Yasunobu Nohara, Toyoshi Inoguchi, Chinatsu Nojiri and Naoki Nakashima
- Organizer
  2nd ICML Workshop on Interpretable Machine Learning in Healthcare
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11938
[Presentation] Developing a Learning Health System for Delirium using XAI2022
- Author(s)
  Koutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, Yohei Takayama, Hidehisa Soejima and Naoki Nakashima
- Organizer
  12th Biennial Conference of the Asia Pacific Association for Medical Informatics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11938
[Presentation] 交互作用を考慮したSHAPによる機械学習モデルの解釈2022
- Author(s)
  野原康伸, 井口登與志, 野尻千夏, 中島直樹
- Organizer
  第26回日本医療情報学会春季学術大会
- Data Source
  KAKENHI-PROJECT-20K11938
[Presentation] Predictors of Intracerebral Hematoma Enlargement Using Brain CT Images in Emergency Medical Care2021
- Author(s)
  Kazunori Oka, Takumi Hirahara, Yasunobu Nohara, Sozo Inoue, Koichi Arimura, Syoji Kobashi and Koji Iihara
- Organizer
  5th IEEE International Conference on Cybernetics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11938
[Presentation] 交互作用を考慮したSHAPによる機械学習モデルの解釈手法の提案2021
- Author(s)
  野原康伸, 井口登興志, 野尻千夏, 中島直樹
- Organizer
  第41回医療情報学連合大会
- Data Source
  KAKENHI-PROJECT-20K11938
[Presentation] Machine Learning for Classification of Postoperative Patient Status Using Standardized Medical Data2020
- Author(s)
  Takanori Yamashita, Yoshifumi Wakata, Hideki Nakaguma, Yasunobu Nohara, Shinji Hato, Susumu Kawamura, Shuko Muraoka, Masatoshi Sugita, Mihoko Okada, Naoki Nakashima, Hidehisa Soejima
- Organizer
  11th Biennial Conference of the Asia Pacific Association for Medical Informatics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11938
[Presentation] Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital2020
- Author(s)
  Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, Naoki Nakashima
- Organizer
  11th Biennial Conference of the Asia Pacific Association for Medical Informatics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11938
[Presentation] クリニカルパスと診療テキストを用いた糖尿病併存胃がん患者のPatient Reported Outcome指標の検討2019
- Author(s)
  山下貴範, 伊豆倉理江子, 野尻千夏、野原康伸, 中島直樹
- Organizer
  第39回医療情報学連合大会・第20回日本医療情報学会学術大会
- Data Source
  KAKENHI-PROJECT-18K10312

1. 中島直樹 (60325529)

# of Collaborated Projects: 3 results

# of Collaborated Products: 5 results
2. 伊豆倉理江子 (80805292)

# of Collaborated Projects: 2 results

# of Collaborated Products: 1 results
3. 山下貴範 (00807381)

# of Collaborated Projects: 2 results

# of Collaborated Products: 4 results
4. 松本晃太郎 (60932217)

# of Collaborated Projects: 2 results

# of Collaborated Products: 9 results
5. YASUKAWA Kiyoshi (30397559)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. Iihara Koji (90270727)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 木下由美子 (30432925)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 朴珍相 (20749949)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 樗木晶子 (60216497)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 錦谷まりこ (40327333)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
11. 兒島憲二 (40542759)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 横田文彦 (50760451)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 吉高淳夫 (60263729)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. 滝田禎亮 (70263126)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
15. 東尚弘 (10402851)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
16. 森脇健介 (10514862)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
17. 坂本哲也 (40365979)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
18. 西村邦宏 (70397834)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
19. 嘉田晃子 (70399608)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
20. 康東天 (80214716)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
21. 萩原明人 (50291521)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
22. KAMOUCHI Masahiro

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
23. KITAZONO Takanari

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
24. AGO Tetsuro

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
25. 有吉美恵

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
26. 松尾龍

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Nohara Yasunobu 野原 康伸

Research Projects

Research Products

Co-Researchers

Verification and improvement of Large Language Models utilizing structured medical data, and development of a method for explaining model outputsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

The Practice and Evaluation of LHS using Clinical Pathways and Electronic Medical Records

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A Study on Statistical Interpretation Methods for Machine Learning Results Using Shapley ValuesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Validation of electric patient reported outcome system for Gastrointestinal Cancer Patients with Diabetes Mellitus

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Rapid detection of mutation in HIV-1 reverse transcriptase gene by temperature gradient gel electrophoresis

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

111

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Development of Machine Learning Prediction Models for Self-Extubation After Delirium Using Emergency Department Data2024

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Delirium Prediction Using Machine Learning Interpretation Method and Its Incorporation into a Clinical Workflow2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation Study2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Non-linear association between body weight and functional outcome after acute ischemic stroke2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 標準化クリニカルパス「ePath」を基盤としたアウトカム予測とクリティカルインディケータ探索手法2023

Author(s)

Journal Title

Data Source

[Journal Article] 医師の働き方改革を目的としたLearning Health System 構築- ePath データの活用事例 -2023

Author(s)

Journal Title

Data Source

[Journal Article] Communications through contemporary tools of information and communication technology: Health among separated family members2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] ePath における取組みと普及に向けた展望2022

Nohara Yasunobu 野原康伸