Faculty
Chen, Ling / 陳翎
Institute of Hospital & Health Care Administration
02-2826-7000 #65337
ling.chen@nycu.edu.tw
Current Position
Assistant Professor, Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University
Research Interests
• Smart healthcare, medical image analysis, clinical decision support systems
• Deep learning and machine learning
• Natural language processing and longitudinal data analysis
Key Skills
• Machine learning, deep learning, and data modelling for text and image data
• Complex and longitudinal data pre-processing and analysis
• Python packages (tensorflow, scikit-learn, opencv, pillow, numpy, scipy), Matlab, Ubuntu (Linux) OS
• Academic publications, conference papers, ARC grant proposals and other academic writing (LaTex)
Educational Qualifications
• Ph.D. in Computer Science (Data Mining), University of Queensland (UQ), Apr. 2013 – Feb. 2017
• Master of Computer Science, UQ, Jul. 2010 – Nov. 2011
• Master of Information Technology, UQ, Mar. 2009 – Jun. 2010
• Bachelor of Arts (Philosophy major), National Taiwan University, Sep. 2002 – Jun. 2006
Employment History
1. 2020 – Present Assistant Professor, Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taiwan.
2. 2018 – 2020 Researcher, Clarivate Analytics, Brisbane, Australia.
3. 2016 – 2018 Research Developer, TrademarkVision (acquired by Clarivate Analytics, Oct. 2018), Brisbane, Australia.
4. 2015 – 2015 Internship, Hunan Research Centre for Hypertension, The 3rd Xianya Hospital, Central South University, China.
Publications
Journal Articles
1. Fang-Ming Hung, Chih-Ho Hsu, Jun-En Ding & Ling Chen, Hospital transfer risk scoring system for a Taiwan COVID-19 medicalized hotel based on graph convolutional networks (2022). J. Formos. Med. Assoc. (SCIE, 61/172, MEDICINE, GENERAL & INTERNAL).
2. Jing-Xian Shu, Ying Li, Ting He, Ling Chen, Xue Li, Lin-Lin Zou, Yin Lu, Xiao-Hui Li, An-Li Wang, Xing Liu, Hong Yuan (2018, Jan). Applying a “Big Data” Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus. Medical Science Monitor, 24, 114-148. (Scopus, 90/136 MEDICINE, RESEARCH & EXPERIMENTAL).
3. Ling Chen, Xue Li, Quan Z. Sheng, Wen Chih Peng, John Bennett, Hsiao Yun Hu, Nicole Huang (2016, Sep). Mining Health Examination Records - A Graph-Based Approach. IEEE Transactions on Knowledge and Data Engineering, 28(9), 2423-2437. (SCIE, 29/134, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE).
4. Ling Chen, Xue Li, Yi Yang, Hanna Kurniawati, Quan Z. Sheng, Hsiao-Yun Hu, Nicole Huang (2016, Jan). Personal health indexing based on medical examinations: A data mining approach. Decision Support Systems, 81(2016), 54-65. (SCIE, 30/134, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ).
5. Ling Chen, Yang Liu, Marcus Gallagher, Bernard Pailthorpe, Shazia Sadiq, Heng Tao Shen, Xue Li (2012, Oct). Introducing cloud computing topics in curricula. Journal of Information Systems Education, 23(3): 315-324.
Book Chapters
1. Chen, L., Tseng, V. S., Tsao, H. M., & Tang, G. J. (2022). Personalized decision support for cardiology based on deep learning: an overview. Edge-Of-things in Personalized Healthcare Support Systems, 45-75.
2. Sayan Unankard, Ling Chen, Peng Li, Sen Wang, Zi Huang, Mohamed A. Sharaf, Xue Li. On the prediction of re-tweeting activities in social networks - A report on WISE 2012 challenge. Web Information Systems Engineering - WISE 2012. WISE 2012. Lecture Notes in Computer Science, vol 7651 (ISBN: 978-3-642-35062-7). Berlin, Heidelberg: Springer. Nov, 2012: 7651 LNCS, 744-754.
Conference Papers
1. Ling Chen, Xue Li, Sen Wang, Hsiao Yun Hu, Nicole Huang, Quan Z. Sheng, Mohamed Sharaf (2014, Dec). Mining Personal Health Index from Annual Geriatric Medical Examinations. Proceedings of 2014 IEEE International Conference on Data Mining, 761-766.
Awards
• 2014 Premier’s Awards for Open Data - Best Use of Open Data and Microsoft StartUp Q Award (WikiQueensland- a big data fusion system), Queensland, Australia
• Richard Jago Memorial Prize 2014, University of Queensland (UQ)
• UQ Graduate School sponsorship, 2014 C9-Go8 Forum on Global challenges of Ageing, Sydney
• First prize of the Data Mining Track, WISE 2012 (ERA A-ranked conference) Challenge
• Best Group Project (CSSE3005/7025 Adv. InfTech Project, 2010), UQ
• Dean’s Commendation for High Achievement (S1 2009, S1 2010, S1 2011), UQ
• Presidential Awards (S1 2004, S1 2005, S2 2005), National Taiwan University
References
Prof. Xue Li (李雪)
Vice President / CKO
Neusoft Education Technology Group
lixue@neusoft.edu.cn
+86 137-17947033
Cameron Mitchell
Senior Director
Clarivate Analytics
cameron.mitchell@clarivate.com
+61 457-040557
• Deep learning and machine learning
• Natural language processing and longitudinal data analysis
3. 2016 – 2018 Research Developer, TrademarkVision (acquired by Clarivate Analytics, Oct. 2018), Brisbane, Australia.
4. 2015 – 2015 Internship, Hunan Research Centre for Hypertension, The 3rd Xianya Hospital, Central South University, China.
3. Ling Chen, Xue Li, Quan Z. Sheng, Wen Chih Peng, John Bennett, Hsiao Yun Hu, Nicole Huang (2016, Sep). Mining Health Examination Records - A Graph-Based Approach. IEEE Transactions on Knowledge and Data Engineering, 28(9), 2423-2437. (SCIE, 29/134, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE).
4. Ling Chen, Xue Li, Yi Yang, Hanna Kurniawati, Quan Z. Sheng, Hsiao-Yun Hu, Nicole Huang (2016, Jan). Personal health indexing based on medical examinations: A data mining approach. Decision Support Systems, 81(2016), 54-65. (SCIE, 30/134, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ).
5. Ling Chen, Yang Liu, Marcus Gallagher, Bernard Pailthorpe, Shazia Sadiq, Heng Tao Shen, Xue Li (2012, Oct). Introducing cloud computing topics in curricula. Journal of Information Systems Education, 23(3): 315-324.
References