2014 - 2017 Research on information technology to support reducing stress of family caregivers of depressed patients
2014 - 2017 Team approach in Transplant Medicine
2013 - 2016 Safety Text De-identification
2014 - 2016 うつ病患者の家族看護者のストレス軽減を支援する情報技術に関する研究
2016 - ソーシャルメディアデータ解析に関する研究・開発
2016 - SNSからの食品情報取得に関する研究
2013 - 2015 テキストの安全な匿名化に関する研究
2010 - 2015 自然言語処理による診断支援技術の開発
2011 - 2014 Orthographic Disambiguation Incorporating Transliteration, Typo and Other Similar Phenomena
2011 - 2014 Advanced Utilization of Medical Record Data with Relational Probabilistic Models
2012 - 2014 厚生労働科学研究費補助金(難治性疾患等克服研究事業)
2012 - 2013 自然言語処理とオントロジーに基づく自由テキスト入力支援の医療文書への応用
2011 - 2013 肝臓移植適応の評価・登録を至適タイミングで行うための予測モデルの作成
2010 - 2012 Automatic Structuring for Dummy Health Records
2009 - 2011 Wikipedia Mining for Constructing a Huge Scale Web Ontology
2008 - 2011 非文法的かつ断片化したテキストからの情報抽出に関する研究
2009 - 2010 コミュニティ型コンテンツのコンテンツホール検索に関する研究
2008 - 2010 Information Extraction from ungrammatical and fragmented texts
2007 - 2009 Web2.0時代のコミュニティ型コンテンツホール検索に関する研究
2007 - 2008 Content Hole Search of Community-type Content in the Web 2.0 era
2006 - 2008 臨床医療コーパスの構築に関する研究
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Papers (198):
Hiroaki Tanaka, Wataru Yamada, Keiichi Ochiai, Shoko Wakamiya, Eiji Aramaki. Estimating work engagement from online chat tools. EPJ Data Sci. 2024. 13. 1. 58-58
Yoshimasa Kawazoe, Kiminori Shimamoto, Tomohisa Seki, Masami Tsuchiya, Emiko Shinohara, Shuntaro Yada, Shoko Wakamiya, Shungo Imai, Satoko Hori, Eiji Aramaki. Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records. npj Digital Medicine. 2024. 7. 1. 315-315
Gabriel Herman Bernardim Andrade, Tomohiro Nishiyama, Takako Fujimaki, Shuntaro Yada, Shoko Wakamiya, Mari Takagi, Mizuki Kato, Isao Miyashiro, Eiji Aramaki. Assessing domain adaptation in adverse drug event extraction on real-world breast cancer records. International Journal of Medical Informatics. 2024. 191. 105539-105539
Masaru Kamba, Wan Jou She, Kiki Ferawati, Shoko Wakamiya, Eiji Aramaki. Correction: Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences. JMIR infodemiology. 2024. 4. e67434
Tomohiro Nishiyama, Ayane Yamaguchi, Peitao Han, Lis Weiji Kanashiro Pereira, Yuka Otsuki, Gabriel Herman Bernardim Andrade, Noriko Kudo, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki, et al. Automated System to Capture Patient Symptoms From Multitype Japanese Clinical Texts: Retrospective Study. JMIR Medical Informatics. 2024. 12. e58977-e58977
Peitao Han, Lis Kanashiro Pereira, Fei Cheng, Wan Jou She, Eiji Aramaki. AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction. 2024
Peitao Han, Lis Kanashiro Pereira, Fei Cheng, Wan Jou She, Eiji Aramaki. Enhancing In-Context Learning with Semantic Representations for Relation Extraction. CoRR. 2024. abs/2406.10432
荒牧英治, 若宮翔子, 矢田竣太郎, SHE Wan-Jou, 藤牧貴子, 川端京子, 工藤紀子. Human-AI Collaboration Now in the Medical Field. 電子情報通信学会誌. 2024. 107. 5. 456-461
Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aurélie Névéol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama, Sebastian Möller, et al. A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages. LREC/COLING. 2024. abs/2403.18336. 395-414
Extracting Spatio-Temporal Trends in Medical Research Prioritization Through Natural Language Processing of Case Report Abstracts
(Studies in Health Technology and Informatics 2024)
Detection of Adverse Event Signals with Severity Grade Classification from Cancer Patient Narrative
(Studies in Health Technology and Informatics 2024)
Using the natural language processing system MedNER-J to analyze pharmaceutical care records: Natural language processing analysis (Preprint)
(2023)
NAISTSOCRR at the NTCIR-17 MedNLP-SC Radiology Report Subtask
(Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies 2023)
Visualyre: multimodal album art generation for independent musicians.
(Personal and Ubiquitous Computing 2023)