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Chu-Hsien Su

Showing results (1-10 of 8) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|July 24, 2019
Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddingsHong-Jie Dai, Chu-Hsien Su, Chi-Shin Wu
Journal of Affective Disorders|September 22, 2019
Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health recordsChi-Shin Wu, Chian-Jue Kuo, Chu-Hsien Su, et al.
Journal of Biomedical Informatics|May 4, 2020
Cohort selection for clinical trials using multiple instance learningHong-Jie Dai, Feng-Duo Wang, Chih-Wei Chen, et al.
Artificial Intelligence in Medicine|January 29, 2023
Augmenting DSM-5 diagnostic criteria with self-attention-based BiLSTM models for psychiatric diagnosisChi-Shin Wu, Chien-Hung Chen, Chu-Hsien Su, et al.
Frontiers in Psychiatry|February 15, 2021
Deep Learning-Based Natural Language Processing for Screening Psychiatric PatientsHong-Jie Dai, Chu-Hsien Su, You-Qian Lee, et al.
Studies in Health Technology and Informatics|June 8, 2022
Protected Health Information Recognition of Unstructured Code-Mixed Electronic Health Records in TaiwanYou-Qian Lee, Bo-Hong Wang, Chu-Hsien Su, et al.
Database : the Journal of Biological Databases and Curation|June 1, 2016
MET network in PubMed: a text-mined network visualization and curation systemHong-Jie Dai, Chu-Hsien Su, Po-Ting Lai, et al.
Database : the Journal of Biological Databases and Curation|September 4, 2016
Overview of the interactive task in BioCreative VQinghua Wang, Shabbir S Abdul, Lara Almeida, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of the American Medical Informatics Association : JAMIA|July 24, 2019
Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddingsHong-Jie Dai, Chu-Hsien Su, Chi-Shin Wu
Journal of Affective Disorders|September 22, 2019
Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health recordsChi-Shin Wu, Chian-Jue Kuo, Chu-Hsien Su, et al.
Journal of Biomedical Informatics|May 4, 2020
Cohort selection for clinical trials using multiple instance learningHong-Jie Dai, Feng-Duo Wang, Chih-Wei Chen, et al.
Artificial Intelligence in Medicine|January 29, 2023
Augmenting DSM-5 diagnostic criteria with self-attention-based BiLSTM models for psychiatric diagnosisChi-Shin Wu, Chien-Hung Chen, Chu-Hsien Su, et al.
Frontiers in Psychiatry|February 15, 2021
Deep Learning-Based Natural Language Processing for Screening Psychiatric PatientsHong-Jie Dai, Chu-Hsien Su, You-Qian Lee, et al.
Studies in Health Technology and Informatics|June 8, 2022
Protected Health Information Recognition of Unstructured Code-Mixed Electronic Health Records in TaiwanYou-Qian Lee, Bo-Hong Wang, Chu-Hsien Su, et al.
Database : the Journal of Biological Databases and Curation|June 1, 2016
MET network in PubMed: a text-mined network visualization and curation systemHong-Jie Dai, Chu-Hsien Su, Po-Ting Lai, et al.
Database : the Journal of Biological Databases and Curation|September 4, 2016
Overview of the interactive task in BioCreative VQinghua Wang, Shabbir S Abdul, Lara Almeida, et al.
Pageof 1