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Shuntaro Yada

Showing results (31-40 of 45) with videos related to

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JMIR Formative Research|June 30, 2026
Emotion Classification in Japanese Cancer Survivor Interview Narratives Using Sentiment Polarity and Plutchik Emotion Frameworks: Model Development and Evaluation StudySoma Hisamura, Satoshi Watabe, Hayato Kizaki, et al.
Studies in Health Technology and Informatics|August 8, 2025
Development of an Automated Classification System for Medication-Related Incident Factors: A Practical Approach to Enhancing Patient Safety ManagementYuri Takamatsu, Sayaka Ebara, Hayato Kizaki, et al.
Scientific Reports|February 24, 2025
Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicityYoshimasa Kawazoe, Masami Tsuchiya, Kiminori Shimamoto, et al.
JMIR Medical Informatics|January 17, 2025
Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated DatasetTakuya Fukushima, Masae Manabe, Shuntaro Yada, et al.
International Journal of Medical Informatics|July 31, 2024
Assessing domain adaptation in adverse drug event extraction on real-world breast cancer recordsGabriel Herman Bernardim Andrade, Tomohiro Nishiyama, Takako Fujimaki, et al.
JCO Clinical Cancer Informatics|August 12, 2025
Elucidating Celecoxib's Preventive Effect in Capecitabine-Induced Hand-Foot Syndrome Using Medical Natural Language ProcessingMasami Tsuchiya, Yoshimasa Kawazoe, Kiminori Shimamoto, et al.
Journal of Medical Internet Research|April 16, 2024
Adverse Event Signal Detection Using Patients' Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning ModelsSatoshi Nishioka, Satoshi Watabe, Yuki Yanagisawa, et al.
Studies in Health Technology and Informatics|August 8, 2025
Efficient Maintenance of Large-Scale Medical Dictionaries Using Large Language Models: A Case for BiomarkersYuka Otsuki, Shuntaro Yada, Tomohiro Nishiyama, et al.
Scientific Reports|July 29, 2025
A patient-centered approach to developing and validating a natural language processing model for extracting patient-reported symptomsSatoshi Watabe, Yuki Yanagisawa, Kyoko Sayama, et al.
Yakugaku Zasshi : Journal of the Pharmaceutical Society of Japan|December 1, 2024
[Analysis of Overdose-related Posts on Social Media]Ryuya Sato, Masami Tsuchiya, Rintaro Ichiyama, et al.
Pageof 5

Showing results (31-40 of 45) with videos related to

Sort By:
Pageof 5
JMIR Formative Research|June 30, 2026
Emotion Classification in Japanese Cancer Survivor Interview Narratives Using Sentiment Polarity and Plutchik Emotion Frameworks: Model Development and Evaluation StudySoma Hisamura, Satoshi Watabe, Hayato Kizaki, et al.
Studies in Health Technology and Informatics|August 8, 2025
Development of an Automated Classification System for Medication-Related Incident Factors: A Practical Approach to Enhancing Patient Safety ManagementYuri Takamatsu, Sayaka Ebara, Hayato Kizaki, et al.
Scientific Reports|February 24, 2025
Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicityYoshimasa Kawazoe, Masami Tsuchiya, Kiminori Shimamoto, et al.
JMIR Medical Informatics|January 17, 2025
Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated DatasetTakuya Fukushima, Masae Manabe, Shuntaro Yada, et al.
International Journal of Medical Informatics|July 31, 2024
Assessing domain adaptation in adverse drug event extraction on real-world breast cancer recordsGabriel Herman Bernardim Andrade, Tomohiro Nishiyama, Takako Fujimaki, et al.
JCO Clinical Cancer Informatics|August 12, 2025
Elucidating Celecoxib's Preventive Effect in Capecitabine-Induced Hand-Foot Syndrome Using Medical Natural Language ProcessingMasami Tsuchiya, Yoshimasa Kawazoe, Kiminori Shimamoto, et al.
Journal of Medical Internet Research|April 16, 2024
Adverse Event Signal Detection Using Patients' Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning ModelsSatoshi Nishioka, Satoshi Watabe, Yuki Yanagisawa, et al.
Studies in Health Technology and Informatics|August 8, 2025
Efficient Maintenance of Large-Scale Medical Dictionaries Using Large Language Models: A Case for BiomarkersYuka Otsuki, Shuntaro Yada, Tomohiro Nishiyama, et al.
Scientific Reports|July 29, 2025
A patient-centered approach to developing and validating a natural language processing model for extracting patient-reported symptomsSatoshi Watabe, Yuki Yanagisawa, Kyoko Sayama, et al.
Yakugaku Zasshi : Journal of the Pharmaceutical Society of Japan|December 1, 2024
[Analysis of Overdose-related Posts on Social Media]Ryuya Sato, Masami Tsuchiya, Rintaro Ichiyama, et al.
Pageof 5