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Emiko Shinohara

Showing results (1-10 of 23) with videos related to

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International Journal of Medical Informatics|December 23, 2025
Efficient medical NER with limited data: Enhancing LLM performance through annotation guidelinesEmiko Shinohara, Yoshimasa Kawazoe
Journal of Biomedical Informatics|September 11, 2022
Development of comprehensive annotation criteria for patients' states from clinical textsEmiko Shinohara, Daisaku Shibata, Yoshimasa Kawazoe
Studies in Health Technology and Informatics|June 3, 2018
Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language ProcessingShinichiroh Yokota, Emiko Shinohara, Kazuhiko Ohe
JMIR Formative Research|September 5, 2023
Influence of Tweets Indicating False Rumors on COVID-19 Vaccination: Case StudyMai Hirabayashi, Daisaku Shibata, Emiko Shinohara, et al.
Studies in Health Technology and Informatics|January 25, 2024
Towards Structuring Clinical Texts: Joint Entity and Relation Extraction from Japanese Case Report CorpusDaisaku Shibata, Emiko Shinohara, Kiminori Shimamoto, et al.
Studies in Health Technology and Informatics|January 4, 2018
The Impact of "Possible Patients" on Phenotyping Algorithms: Electronic Phenotype Algorithms Can Only Be Reproduced by Sharing Detailed Annotation CriteriaRina Kagawa, Yoshimasa Kawazoe, Emiko Shinohara, et al.
International Journal of Medical Informatics|February 21, 2019
Bias of Inaccurate Disease Mentions in Electronic Health Record-based PhenotypingRina Kagawa, Emiko Shinohara, Takeshi Imai, et al.
Plos One|November 9, 2021
A clinical specific BERT developed using a huge Japanese clinical text corpusYoshimasa Kawazoe, Daisaku Shibata, Emiko Shinohara, et al.
Studies in Health Technology and Informatics|January 4, 2018
A Semi-Automatic Framework to Identify Abnormal States in EHR NarrativesXiaojun Ma, Takeshi Imai, Emiko Shinohara, et al.
Computers, Informatics, Nursing : CIN|May 15, 2021
Automatic Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for NursingMiwa Aoki, Shinichiroh Yokota, Rina Kagawa, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
International Journal of Medical Informatics|December 23, 2025
Efficient medical NER with limited data: Enhancing LLM performance through annotation guidelinesEmiko Shinohara, Yoshimasa Kawazoe
Journal of Biomedical Informatics|September 11, 2022
Development of comprehensive annotation criteria for patients' states from clinical textsEmiko Shinohara, Daisaku Shibata, Yoshimasa Kawazoe
Studies in Health Technology and Informatics|June 3, 2018
Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language ProcessingShinichiroh Yokota, Emiko Shinohara, Kazuhiko Ohe
JMIR Formative Research|September 5, 2023
Influence of Tweets Indicating False Rumors on COVID-19 Vaccination: Case StudyMai Hirabayashi, Daisaku Shibata, Emiko Shinohara, et al.
Studies in Health Technology and Informatics|January 25, 2024
Towards Structuring Clinical Texts: Joint Entity and Relation Extraction from Japanese Case Report CorpusDaisaku Shibata, Emiko Shinohara, Kiminori Shimamoto, et al.
Studies in Health Technology and Informatics|January 4, 2018
The Impact of "Possible Patients" on Phenotyping Algorithms: Electronic Phenotype Algorithms Can Only Be Reproduced by Sharing Detailed Annotation CriteriaRina Kagawa, Yoshimasa Kawazoe, Emiko Shinohara, et al.
International Journal of Medical Informatics|February 21, 2019
Bias of Inaccurate Disease Mentions in Electronic Health Record-based PhenotypingRina Kagawa, Emiko Shinohara, Takeshi Imai, et al.
Plos One|November 9, 2021
A clinical specific BERT developed using a huge Japanese clinical text corpusYoshimasa Kawazoe, Daisaku Shibata, Emiko Shinohara, et al.
Studies in Health Technology and Informatics|January 4, 2018
A Semi-Automatic Framework to Identify Abnormal States in EHR NarrativesXiaojun Ma, Takeshi Imai, Emiko Shinohara, et al.
Computers, Informatics, Nursing : CIN|May 15, 2021
Automatic Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for NursingMiwa Aoki, Shinichiroh Yokota, Rina Kagawa, et al.
Pageof 3