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Shuntaro Yada

Showing results (21-30 of 45) with videos related to

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Studies in Health Technology and Informatics|January 25, 2024
Detection of Adverse Event Signals with Severity Grade Classification from Cancer Patient NarrativeSatoshi Nishioka, Masaki Asano, Shuntaro Yada, et al.
JMIR Cancer|May 9, 2024
Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast CancerZhouqing Zhang, Kongmeng Liew, Roeline Kuijer, et al.
Studies in Health Technology and Informatics|August 8, 2025
Abbreviation Expansion Using a Single Word as ContextJude Crener Junior Pierre, Gabriel Herman Bernardim Andrade, Shaowen Peng, et al.
JMIR Public Health and Surveillance|June 26, 2021
Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological StudyZhiwei Gao, Sumio Fujita, Nobuyuki Shimizu, et al.
JMIR Medical Informatics|March 27, 2025
Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and ValidationTatsuki Hasegawa, Hayato Kizaki, Keisho Ikegami, et al.
Scientific Reports|September 19, 2023
Adverse event signal extraction from cancer patients' narratives focusing on impact on their daily-life activitiesSatoshi Nishioka, Masaki Asano, Shuntaro Yada, et al.
Plos One|May 4, 2022
Identification of hand-foot syndrome from cancer patients' blog posts: BERT-based deep-learning approach to detect potential adverse drug reaction symptomsSatoshi Nishioka, Tomomi Watanabe, Masaki Asano, et al.
Studies in Health Technology and Informatics|August 8, 2025
Natural Language Processing-Based Approach to Detect Common Adverse Events of Anticancer Agents from Unstructured Clinical Notes: A Time-to-Event AnalysisMasami Tsuchiya, Kiminori Shimamoto, Yoshimasa Kawazoe, et al.
NPJ Digital Medicine|November 9, 2024
Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical recordsYoshimasa Kawazoe, Kiminori Shimamoto, Tomohisa Seki, et al.
Psychiatry and Clinical Neurosciences|August 1, 2023
Diagnosing psychiatric disorders from history of present illness using a large-scale linguistic modelNorio Otsuka, Yuu Kawanishi, Fumimaro Doi, et al.
Pageof 5

Showing results (21-30 of 45) with videos related to

Sort By:
Pageof 5
Studies in Health Technology and Informatics|January 25, 2024
Detection of Adverse Event Signals with Severity Grade Classification from Cancer Patient NarrativeSatoshi Nishioka, Masaki Asano, Shuntaro Yada, et al.
JMIR Cancer|May 9, 2024
Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast CancerZhouqing Zhang, Kongmeng Liew, Roeline Kuijer, et al.
Studies in Health Technology and Informatics|August 8, 2025
Abbreviation Expansion Using a Single Word as ContextJude Crener Junior Pierre, Gabriel Herman Bernardim Andrade, Shaowen Peng, et al.
JMIR Public Health and Surveillance|June 26, 2021
Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological StudyZhiwei Gao, Sumio Fujita, Nobuyuki Shimizu, et al.
JMIR Medical Informatics|March 27, 2025
Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and ValidationTatsuki Hasegawa, Hayato Kizaki, Keisho Ikegami, et al.
Scientific Reports|September 19, 2023
Adverse event signal extraction from cancer patients' narratives focusing on impact on their daily-life activitiesSatoshi Nishioka, Masaki Asano, Shuntaro Yada, et al.
Plos One|May 4, 2022
Identification of hand-foot syndrome from cancer patients' blog posts: BERT-based deep-learning approach to detect potential adverse drug reaction symptomsSatoshi Nishioka, Tomomi Watanabe, Masaki Asano, et al.
Studies in Health Technology and Informatics|August 8, 2025
Natural Language Processing-Based Approach to Detect Common Adverse Events of Anticancer Agents from Unstructured Clinical Notes: A Time-to-Event AnalysisMasami Tsuchiya, Kiminori Shimamoto, Yoshimasa Kawazoe, et al.
NPJ Digital Medicine|November 9, 2024
Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical recordsYoshimasa Kawazoe, Kiminori Shimamoto, Tomohisa Seki, et al.
Psychiatry and Clinical Neurosciences|August 1, 2023
Diagnosing psychiatric disorders from history of present illness using a large-scale linguistic modelNorio Otsuka, Yuu Kawanishi, Fumimaro Doi, et al.
Pageof 5