This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1328) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (146) Pharmacovigilance (128) Machine Learning (1385)

Published on in Vol 21, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11016, first published .
Detecting Potential Adverse Drug Reactions Using a Deep Neural Network Model

Detecting Potential Adverse Drug Reactions Using a Deep Neural Network Model

Detecting Potential Adverse Drug Reactions Using a Deep Neural Network Model

Authors of this article:

Chi-Shiang Wang1 Author Orcid Image ;   Pei-Ju Lin1 Author Orcid Image ;   Ching-Lan Cheng2, 3, 4 Author Orcid Image ;   Shu-Hua Tai4 Author Orcid Image ;   Yea-Huei Kao Yang2, 3 Author Orcid Image ;   Jung-Hsien Chiang1, 5 Author Orcid Image
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Chi-Shiang Wang   1 , MS ;   Pei-Ju Lin   1 , MS ;   Ching-Lan Cheng   2, 3, 4 , PhD ;   Shu-Hua Tai   4 , MS ;   Yea-Huei Kao Yang   2, 3 , BSPharm ;   Jung-Hsien Chiang   1, 5 , PhD

1 Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

2 School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan

3 Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan

4 Department of Pharmacy, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan

5 Institute of Medical Informatics, National Cheng Kung University, Tainan, Taiwan

Corresponding Author: