A clinical specific BERT developed using a huge Japanese clinical text corpus Y Kawazoe, D Shibata, E Shinohara, E Aramaki, K Ohe Plos one 16 (11), e0259763, 2021 | 38 | 2021 |
Detecting Japanese patients with Alzheimer’s disease based on word category frequencies D Shibata, S Wakamiya, A Kinoshita, E Aramaki Proceedings of the Clinical Natural Language Processing Workshop …, 2016 | 37 | 2016 |
Idea density in Japanese for the early detection of dementia based on narrative speech D Shibata, K Ito, H Nagai, T Okahisa, A Kinoshita, E Aramaki PloS one 13 (12), e0208418, 2018 | 13 | 2018 |
VocabChecker: measuring language abilities for detecting early stage dementia D Shibata, S Wakamiya, K Ito, M Miyabe, A Kinoshita, E Aramaki Proceedings of the 23rd International Conference on Intelligent User …, 2018 | 12 | 2018 |
Detecting early stage dementia based on natural language processing D Shibata, K Ito, S Wakamiya, E Aramaki Transactions of the Japanese Society for Artificial Intelligence 34 (4), 2019 | 11 | 2019 |
A clinical specific BERT developed with huge size of Japanese clinical narrative Y Kawazoe, D Shibata, E Shinohara, E Aramaki, K Ohe medRxiv, 2020.07. 07.20148585, 2020 | 10 | 2020 |
Detecting redundancy in electronic medical records using clinical bert FW Mutinda, S Nigo, S Wakamiya, E Aramaki The Association for Natural Language Processing, 2020 | 7 | 2020 |
対照群付き高齢者コーパスの構築とそれを用いた認知症予備軍スクリーニング技術の開発 柴田大作, 伊藤薫, 若宮翔子, 荒牧英治 人工知能学会論文誌 34 (4), B-J11_1-9, 2019 | 5 | 2019 |
アルツハイマーの発症に伴う代名詞の増加 柴田大作, 若宮翔子, 木下彩栄, 荒牧英治 研究報告ユビキタスコンピューティングシステム (UBI) 2016 (13), 1-7, 2016 | 4 | 2016 |
Impact of a clinical text–based fall prediction model on preventing extended hospital stays for elderly inpatients: model development and performance evaluation Y Kawazoe, K Shimamoto, D Shibata, E Shinohara, H Kawaguchi, ... JMIR medical informatics 10 (7), e37913, 2022 | 3 | 2022 |
Development of comprehensive annotation criteria for patients’ states from clinical texts E Shinohara, D Shibata, Y Kawazoe Journal of Biomedical Informatics 134, 104200, 2022 | 2 | 2022 |
診療記録で事前学習した BERT による疼痛表現の抽出 柴田大作, 河添悦昌, 嶋本公徳, 篠原恵美子, 荒牧英治 医療情報学 40 (2), 73-82, 2020 | 2 | 2020 |
音声発話による認知症スクリーニング技術の開発 感情表現辞書を用いた発話内容の質的分析 柴田大作, 若宮翔子, 木下彩栄, 荒牧英治 医療情報学 37 (6), 303-311, 2017 | 1 | 2017 |
Towards Structuring Clinical Texts: Joint Entity and Relation Extraction from Japanese Case Report Corpus D Shibata, E Shinohara, K Shimamoto, Y Kawazoe MEDINFO 2023—The Future Is Accessible, 559-563, 2024 | | 2024 |
Influence of Tweets Indicating False Rumors on COVID-19 Vaccination: Case Study M Hirabayashi, D Shibata, E Shinohara, Y Kawazoe JMIR Formative Research 7 (1), e45867, 2023 | | 2023 |
A Study on Clinical Natural Language Processing Covering Electronic Medical Records and Patient Narratives D Shibata Nara Institute of Science and Technology, 2021 | | 2021 |
Detecting Early Stage Dementia based on Natural Language Processing 対照群付き高齢者コーパスの構築とそれを用いた認知症予備軍スクリーニング技術の開発 D Shibata, K Ito, S Wakamiya, E Aramaki | | 2019 |
電子カルテテキストを自動臨床データベース化する要約システムの開発 柴田大作, 若宮翔子, 伊藤薫, 荒川豊, 吉江智秀, 荒牧英治 人工知能学会第二種研究会資料 2018 (AIMED-006), 01, 2018 | | 2018 |
S1 Appendix: Rules for Annotating Idea Density to Japanese Text D Shibata, K Ito, H Nagai, T Okahisa, A Kinoshita, E Aramaki | | 2018 |