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Shoko Wakamiya

Showing results (1-10 of 58) with videos related to

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Studies in Health Technology and Informatics|January 4, 2018
MedEx/J: A One-Scan Simple and Fast NLP Tool for Japanese Clinical TextsEiji Aramaki, Ken Yano, Shoko Wakamiya
Studies in Health Technology and Informatics|January 4, 2018
Conditional Density Estimation of Tweet Location: A Feature-Dependent ApproachHayate Iso, Shoko Wakamiya, Eiji Aramaki
JMIR Public Health and Surveillance|October 3, 2018
Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining StudyShoko Wakamiya, Yukiko Kawai, Eiji Aramaki
Studies in Health Technology and Informatics|August 8, 2025
Exploring Trust in AI: Insights from Patients' Relatives in HealthcareSamar Hannachi, Shoko Wakamiya, Eiji Aramaki
Methods of Information in Medicine|August 29, 2024
Cross-lingual Natural Language Processing on Limited Annotated Case/Radiology Reports in English and Japanese: Insights from the Real-MedNLP WorkshopShuntaro Yada, Yuta Nakamura, Shoko Wakamiya, et al.
JMIR Medical Informatics|November 27, 2020
Identification of Adverse Drug Event-Related Japanese Articles: Natural Language Processing AnalysisShogo Ujiie, Shuntaro Yada, Shoko Wakamiya, et al.
JMIR Infodemiology|October 24, 2022
Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological StudyKiki Ferawati, Kongmeng Liew, Eiji Aramaki, et al.
JMIR Formative Research|March 27, 2026
Comparative Analysis of Japanese Clinical Note Styles Between Physicians and Large Language Models Using Identical Psychiatric Cases: Quantitative Text AnalysisWataru Arihisa, Tomohiro Nishiyama, Shoko Wakamiya, et al.
Yearbook of Medical Informatics|June 2, 2022
Natural Language Processing: from Bedside to EverywhereEiji Aramaki, Shoko Wakamiya, Shuntaro Yada, et al.
Journal of Medical Internet Research|February 21, 2019
Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective AnalysisShoko Wakamiya, Shoji Matsune, Kimihiro Okubo, et al.
Pageof 6

Showing results (1-10 of 58) with videos related to

Sort By:
Pageof 6
Studies in Health Technology and Informatics|January 4, 2018
MedEx/J: A One-Scan Simple and Fast NLP Tool for Japanese Clinical TextsEiji Aramaki, Ken Yano, Shoko Wakamiya
Studies in Health Technology and Informatics|January 4, 2018
Conditional Density Estimation of Tweet Location: A Feature-Dependent ApproachHayate Iso, Shoko Wakamiya, Eiji Aramaki
JMIR Public Health and Surveillance|October 3, 2018
Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining StudyShoko Wakamiya, Yukiko Kawai, Eiji Aramaki
Studies in Health Technology and Informatics|August 8, 2025
Exploring Trust in AI: Insights from Patients' Relatives in HealthcareSamar Hannachi, Shoko Wakamiya, Eiji Aramaki
Methods of Information in Medicine|August 29, 2024
Cross-lingual Natural Language Processing on Limited Annotated Case/Radiology Reports in English and Japanese: Insights from the Real-MedNLP WorkshopShuntaro Yada, Yuta Nakamura, Shoko Wakamiya, et al.
JMIR Medical Informatics|November 27, 2020
Identification of Adverse Drug Event-Related Japanese Articles: Natural Language Processing AnalysisShogo Ujiie, Shuntaro Yada, Shoko Wakamiya, et al.
JMIR Infodemiology|October 24, 2022
Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological StudyKiki Ferawati, Kongmeng Liew, Eiji Aramaki, et al.
JMIR Formative Research|March 27, 2026
Comparative Analysis of Japanese Clinical Note Styles Between Physicians and Large Language Models Using Identical Psychiatric Cases: Quantitative Text AnalysisWataru Arihisa, Tomohiro Nishiyama, Shoko Wakamiya, et al.
Yearbook of Medical Informatics|June 2, 2022
Natural Language Processing: from Bedside to EverywhereEiji Aramaki, Shoko Wakamiya, Shuntaro Yada, et al.
Journal of Medical Internet Research|February 21, 2019
Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective AnalysisShoko Wakamiya, Shoji Matsune, Kimihiro Okubo, et al.
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