Chen-Kai Wang

According to our database, Chen-Kai Wang authored at least 11 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition.

Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy A. Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Melo Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez

Database J. Biol. Databases Curation, February, 2023

2022

Principle-Based Approach for the De-Identification of Code-Mixed Electronic Health Records.

Chen-Kai Wang, Feng-Duo Wang, You-Qian Lee, Pei-Tsz Chen, Bo-Hong Wang, Chu-Hsien Su, Joseph Chin-Chi Kuo, Chi-Shin Wu, Yi-Ling Chien, Hong-Jie Dai, Vincent S. Tseng, Wen-Lian Hsu

IEEE Access, 2022

2020

ISLab System for SMM4H Shared Task 2020.

Chen-Kai Wang, Hong-Jie Dai, You-Chen Zhang, Bo-Chun Xu, Bo-Hong Wang, You-Ning Xu, Po-Hao Chen, Chung-Hong Lee

Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020

2019

Classifying adverse drug reactions from imbalanced twitter data.

Hong-Jie Dai, Chen-Kai Wang

Int. J. Medical Informatics, 2019

Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine.

Rezarta Islamaj Dogan, Sun Kim, Andrew Chatr-aryamontri, Chih-Hsuan Wei, Donald C. Comeau, Rui Antunes, Sérgio Matos, Qingyu Chen, Aparna Elangovan, Nagesh C. Panyam, Karin Verspoor, Hongfang Liu, Yanshan Wang, Zhuang Liu, Berna Altinel, Zehra Melce Hüsünbeyi, Arzucan Özgür, Aris Fergadis, Chen-Kai Wang, Hong-Jie Dai, Tung Tran, Ramakanth Kavuluru, Ling Luo, Albert Steppi, Jinfeng Zhang, Jinchan Qu, Zhiyong Lu

Database J. Biol. Databases Curation, 2019

Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature.

Hong-Jie Dai, Chen-Kai Wang, Nai-Wen Chang, Ming-Siang Huang, Jitendra Jonnagaddala, Feng-Duo Wang, Wen-Lian Hsu

Database J. Biol. Databases Curation, 2019

BIGODM System in the Social Media Mining for Health Applications Shared Task 2019.

Chen-Kai Wang, Hong-Jie Dai, Bo-Hung Wang

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

2018

Adverse Drug Reaction Post Classification with Imbalanced Classification Techniques.

Chen-Kai Wang, Hong-Jie Dai, Feng-Duo Wang, Emily Chia-Yu Su

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2018

2017

Using a Recurrent Neural Network Model for Classification of Tweets Conveyed Influenza-related Information.

Chen-Kai Wang, Onkar Singh, Zhao-Li Tang, Hong-Jie Dai

Proceedings of the International Workshop on Digital Disease Detection using Social Media, 2017

NTTMU System in the 2nd Social Media Mining for Health Applications Shared Task.

Chen-Kai Wang, Nai-Wun Chang, Emily Chia-Yu Su, Hong-Jie Dai

Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017

2016

Combining Multiple Classifiers Using Global Ranking for ReachOut.com Post Triage.

Chen-Kai Wang, Hong-Jie Dai, Chih-Wei Chen, Jitendra Jonnagaddala, Nai-Wen Chang

Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016