Yada S - Search Results

1

Automated System to Capture Patient Symptoms From Multitype Japanese Clinical Texts: Retrospective Study.

Nishiyama T, Yamaguchi A, Han P, Pereira LWK, Otsuki Y, Andrade GHB, Kudo N, Yada S, Wakamiya S, Aramaki E, Takada M, Toi M. Nishiyama T, et al. Among authors: yada s. JMIR Med Inform. 2024 Sep 24;12:e58977. doi: 10.2196/58977. JMIR Med Inform. 2024. PMID: 39316418 Free PMC article.

2

Identification of Adverse Drug Event-Related Japanese Articles: Natural Language Processing Analysis.

Ujiie S, Yada S, Wakamiya S, Aramaki E. Ujiie S, et al. Among authors: yada s. JMIR Med Inform. 2020 Nov 27;8(11):e22661. doi: 10.2196/22661. JMIR Med Inform. 2020. PMID: 33245290 Free PMC article.

3

Semantic Textual Similarity in Japanese Clinical Domain Texts Using BERT.

Mutinda FW, Yada S, Wakamiya S, Aramaki E. Mutinda FW, et al. Among authors: yada s. Methods Inf Med. 2021 Jun;60(S 01):e56-e64. doi: 10.1055/s-0041-1731390. Epub 2021 Jul 8. Methods Inf Med. 2021. PMID: 34237783 Free PMC article.

4

Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses.

Manabe M, Liew K, Yada S, Wakamiya S, Aramaki E. Manabe M, et al. Among authors: yada s. JMIR Form Res. 2021 Aug 12;5(8):e29500. doi: 10.2196/29500. JMIR Form Res. 2021. PMID: 34387556 Free PMC article.

5

Natural Language Processing: from Bedside to Everywhere.

Aramaki E, Wakamiya S, Yada S, Nakamura Y. Aramaki E, et al. Among authors: yada s. Yearb Med Inform. 2022 Aug;31(1):243-253. doi: 10.1055/s-0042-1742510. Epub 2022 Jun 2. Yearb Med Inform. 2022. PMID: 35654422 Free PMC article.

6

AUTOMETA: Automatic Meta-Analysis System Employing Natural Language Processing.

Mutinda FW, Yada S, Wakamiya S, Aramaki E. Mutinda FW, et al. Among authors: yada s. Stud Health Technol Inform. 2022 Jun 6;290:612-616. doi: 10.3233/SHTI220150. Stud Health Technol Inform. 2022. PMID: 35673089

7

Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer.

Mutinda FW, Liew K, Yada S, Wakamiya S, Aramaki E. Mutinda FW, et al. Among authors: yada s. BMC Med Inform Decis Mak. 2022 Jun 18;22(1):158. doi: 10.1186/s12911-022-01897-4. BMC Med Inform Decis Mak. 2022. PMID: 35717167 Free PMC article.

8

Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach.

Nishiyama T, Yada S, Wakamiya S, Hori S, Aramaki E. Nishiyama T, et al. Among authors: yada s. J Med Internet Res. 2023 May 3;25:e44870. doi: 10.2196/44870. J Med Internet Res. 2023. PMID: 37133915 Free PMC article.

9

Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study.

Herman Bernardim Andrade G, Yada S, Aramaki E. Herman Bernardim Andrade G, et al. Among authors: yada s. JMIR Med Inform. 2024 Jul 2;12:e59680. doi: 10.2196/59680. JMIR Med Inform. 2024. PMID: 38954456 Free PMC article.

10

Predictive Model for Extended-Spectrum β-Lactamase-Producing Bacterial Infections Using Natural Language Processing Technique and Open Data in Intensive Care Unit Environment: Retrospective Observational Study.

Ito G, Yada S, Wakamiya S, Aramaki E. Ito G, et al. Among authors: yada s. JMIR Form Res. 2024 Jul 10;8:e54044. doi: 10.2196/54044. JMIR Form Res. 2024. PMID: 38986131 Free PMC article.

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