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Shuntaro Yada

Showing results (11-20 of 45) with videos related to

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JMIR Nursing|January 22, 2025
Impact of Attached File Formats on the Performance of ChatGPT-4 on the Japanese National Nursing Examination: Evaluation StudyKazuya Taira, Takahiro Itaya, Shuntaro Yada, et al.
BMC Medical Informatics and Decision Making|June 18, 2022
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancerFaith Wavinya Mutinda, Kongmeng Liew, Shuntaro Yada, et al.
JMIR Cancer|June 3, 2022
Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of BlogsTomomi Watanabe, Shuntaro Yada, Eiji Aramaki, et al.
Plos One|September 6, 2024
Exploring a method for extracting concerns of multiple breast cancer patients in the domain of patient narratives using BERT and its optimization by domain adaptation using masked language modelingSatoshi Watabe, Tomomi Watanabe, Shuntaro Yada, et al.
JMIR Cancer|October 28, 2021
Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based ApproachMasaru Kamba, Masae Manabe, Shoko Wakamiya, et al.
Plos One|September 11, 2024
Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRsShuntaro Yada, Tomohiro Nishiyama, Shoko Wakamiya, et al.
Scientific Reports|October 30, 2020
Surveillance of early stage COVID-19 clusters using search query logs and mobile device-based location informationShohei Hisada, Taichi Murayama, Kota Tsubouchi, et al.
Studies in Health Technology and Informatics|August 8, 2025
Large Language Models Can be Good Medical Annotators: A Case Study of Drug Change Detection in Japanese EHRsTakeshi Ito, Tomohide Yoshie, Sohei Yoshimura, et al.
Plos One|August 1, 2025
Correction: Exploring a method for extracting concerns of multiple breast cancer patients in the domain of patient narratives using BERT and its optimization by domain adaptation using masked language modelingSatoshi Watabe, Tomomi Watanabe, Shuntaro Yada, et al.
Plos One|March 5, 2025
Correction: Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRsShuntaro Yada, Tomohiro Nishiyama, Shoko Wakamiya, et al.
Pageof 5

Showing results (11-20 of 45) with videos related to

Sort By:
Pageof 5
JMIR Nursing|January 22, 2025
Impact of Attached File Formats on the Performance of ChatGPT-4 on the Japanese National Nursing Examination: Evaluation StudyKazuya Taira, Takahiro Itaya, Shuntaro Yada, et al.
BMC Medical Informatics and Decision Making|June 18, 2022
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancerFaith Wavinya Mutinda, Kongmeng Liew, Shuntaro Yada, et al.
JMIR Cancer|June 3, 2022
Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of BlogsTomomi Watanabe, Shuntaro Yada, Eiji Aramaki, et al.
Plos One|September 6, 2024
Exploring a method for extracting concerns of multiple breast cancer patients in the domain of patient narratives using BERT and its optimization by domain adaptation using masked language modelingSatoshi Watabe, Tomomi Watanabe, Shuntaro Yada, et al.
JMIR Cancer|October 28, 2021
Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based ApproachMasaru Kamba, Masae Manabe, Shoko Wakamiya, et al.
Plos One|September 11, 2024
Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRsShuntaro Yada, Tomohiro Nishiyama, Shoko Wakamiya, et al.
Scientific Reports|October 30, 2020
Surveillance of early stage COVID-19 clusters using search query logs and mobile device-based location informationShohei Hisada, Taichi Murayama, Kota Tsubouchi, et al.
Studies in Health Technology and Informatics|August 8, 2025
Large Language Models Can be Good Medical Annotators: A Case Study of Drug Change Detection in Japanese EHRsTakeshi Ito, Tomohide Yoshie, Sohei Yoshimura, et al.
Plos One|August 1, 2025
Correction: Exploring a method for extracting concerns of multiple breast cancer patients in the domain of patient narratives using BERT and its optimization by domain adaptation using masked language modelingSatoshi Watabe, Tomomi Watanabe, Shuntaro Yada, et al.
Plos One|March 5, 2025
Correction: Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRsShuntaro Yada, Tomohiro Nishiyama, Shoko Wakamiya, et al.
Pageof 5