Projects per year
Personal profile
Education
- 2013 Medical Doctor, Saint Petersburg Medical Academy Russia
- 2008 Master of Science, Telemedicine and eHealth from University of Tromso, Norway.
- 2001 Doctor of Philosophy, Health Informatics from National Yang-Ming University, Taiwan.
Experience
- 2018: Guest Editor for Sensors journal, for Special Issue "Data Analytics and Applications of the Wearable Sensors in Healthcare"
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Since 2017 Associate Professor, Taipei Medical University
- 2013-2017 Assistant Professor, Taipei Medical University-Since 2018
- Adjunct Professor at Vellore Institute of Technology, India
- Since 2015: Principal Investigator at the International Center for Health Information Technology, Taipei Medical University, Taiwan
- Since 2015: Lead Educator for MOOCs, on FutureLearn, a platform for open online courses
Awards
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Plum Blossom Card (Permanent Resident Certificate) by Government of Taiwan 2017
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New Investigator of Global Health by Global Health Council 2010. Washington DC.
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National Yang Ming University Scholarship 2009—2011
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International Scholar Ex-Change programme by Norwegian Research Council 2009.
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Quota scholarship at Tromso University, Norway 2006--2008.
Patents:
- TW Patent # M409487 Mobile Personal Health Record System
- US Patent# 20150356272 Prescription Analysis System And Method For Applying Probabilistic Model Based On Medical Big Data
Research Interests
- Artificial Intelligence
- Internet of Things
- Wearable Devices for Long Term Care
- Telemedicine
- Big Data Analytics
- Visualization for Digital Epidemiology
- mHealth
- Medical Tourism
- Social Media in Health care
- Personal Health Records
Other
Mentorship and Participation in programs
1. Mentor of Taiwan Experience Education Program at Taipei Medical University, Taipei, Taiwan
2. Mentor of International Honor’s Program at Taipei Medical University, Taipei, Taiwan, since 2018
3. Mentor of the course Health Information Technology for Resource-poor Settings, Taipei Medical University.
4. 2016 & 2017 Taiwan Tech Trek Program
5. Active participant of the Focus Group on "Artificial Intelligence for Health" (FG-AI4H) group in partnership with WHO for the evaluation of AI-based methods for health, diagnosis, triage or treatment decisions.
6. Mentor of Taipei Medical University, College of Medical Science and Technology lab meeting since 2015
7. Member of Committee of International Affairs, Graduate Institute of Biomedical Informatics, Taipei Medical University
Educator for MOOCS courses
- Social Media in Healthcare: Opportunities and Challenges, total 10,717 students (8 runs: 2015-2019)
- Internet of Things for Active Aging, total 9,783 students (6 runs: 2016-2019)
- Digital Health for Cancer Management: Smart Health Technologies in Complex Diseases, total 2,076 students (3 runs: 2017-2019)
- Artificial Intelligence for Healthcare: Opportunities and Challenges, total 484 students (1 run: 2019)
Local and International Projects
European Commission Funded H2020 Projects
1. SmokefreeBrain: Multidisciplinary tools for improving the efficacy of public prevention measures against smoking (106-2923-E-038-001-MY2)
2. CrowdHEALTH project: Using health-related big data for supporting policy making decisions (107-2923-E-038-001-MY2)
3. CATCH: Cancer Activating Technologies for Connected Health
Other Projects
1. The Role of Respiratory Rate Variability and Heart Rate Variability in Predicting Adverse Event in the Hemodialysis patients (106-2221-E-038-005) (Publication)
2. AI-based Personal Health Record Management System (PHRMS) for Cancer Risk Prediction: Taiwan – India Collaboration Fostering (106-研-R-0018)
3. Virtual Reality among the elderly
4. Wearable technology for the patient recognition in the Shin Kong Wu Ho-Su Memorial Hospital, grant number: SKH-TMU-104-02
Media coverage
1. http://www.chinatimes.com/newspapers/20170403000300-260106
2. https://udn.com/news/story/6928/2220952
3. http://www.peoplenews.tw/news/a5e27b76-83e8-49cb-b905-387117150295
URL
Fingerprint Dive into the research topics where Syed Abdul Shabbir is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 9 Similar Profiles
Delivery of Health Care
Medicine & Life Sciences
Health
Engineering & Materials Science
Social Media
Medicine & Life Sciences
Electronic Health Records
Medicine & Life Sciences
Medical Informatics
Medicine & Life Sciences
Telemedicine
Medicine & Life Sciences
Patient Safety
Medicine & Life Sciences
Quality of Health Care
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2014 2020
利用人工智慧及穿戴式偵測儀客觀評量末期癌症病人體能狀態並預測短期預後存活
8/1/19 → 7/1/20
Project: A - Government Institution › b - Ministry of Science and Technology
臺歐盟國合計畫－以健康相關大數據支持方針制定之決策(2/2)
4/1/19 → 3/1/20
Project: A - Government Institution › b - Ministry of Science and Technology
Crowdhealth Project: Using Health-Related Big Data for Supporting Policy Making Decisions(1/2)
4/1/18 → 3/31/19
Project: A - Government Institution › b - Ministry of Science and Technology
AI-based Personal Health Record Management System(PHRMS) for Cancer Risk Prediction:Taiwan-India Collaboration Forstering
3/20/18 → 12/31/19
Project: A - Government Institution › a - National Health Research Institutes
The Role of Respiratory Rate Variability and Heart Rate Variability in Predicting Adverse Event in the Hemodialysis Patients
8/1/17 → 7/31/18
Project: A - Government Institution › b - Ministry of Science and Technology
Research Output 2010 2019
Corrigendum to “Cloud-based BP system integrated with CPOE improves self-management of the hypertensive patients: A randomized controlled trial” (Computer Methods and Programs in Biomedicine (2016) 132 (105–113), (S0169260715304740), (10.1016/j.cmpb.2016.04.003))
Lee, P., Liu, J. C., Hsieh, M. H., Hao, W. R., Tseng, Y. T., Liu, S. H., Lin, Y. K., Sung, L. C., Huang, J. H., Yang, H. Y., Ye, J. S., Zheng, H. S., Hsu, M. H., Syed-Abdul, S., Lu, R., Nguyen, P. A., Iqbal, U., Huang, C. W., Jian, W. S. & Li, Y. C. J., Jan 1 2019, In : Computer Methods and Programs in Biomedicine.Research output: Contribution to journal › Comment/debate
Medical Order Entry Systems
Self Care
Taiwan
Medicine
Software
Does long-term use of antidiabetic drugs changes cancer risk?
Liu, Y. C., Nguyen, P. A., Humayun, A., Chien, S. C., Yang, H. C., Asdary, R. N., Syed-Abdul, S., Hsu, M. H., Moldovan, M., Yen, Y., Li, Y. C., Jian, W. S. & Iqbal, U., Oct 1 2019, In : Medicine (United States). 98, 40, p. e17461 e17461.Research output: Contribution to journal › Article
Open Access
Hypoglycemic Agents
pioglitazone
Neoplasms
Odds Ratio
Confidence Intervals
Evaluation of user satisfaction and usability of a mobile app for smoking cessation
Luna-Perejon, F., Malwade, S., Styliadis, C., Civit, J., Cascado-Caballero, D., Konstantinidis, E., Abdul, S. S., Bamidis, P. D., Civit, A. & Li, Y. C. J., Dec 2019, In : Computer Methods and Programs in Biomedicine. 182, 105042.Research output: Contribution to journal › Article
Open Access
Mobile Applications
Smoking Cessation
Application programs
Telemedicine
Expert Testimony
Graft rejection prediction following kidney transplantation using machine learning techniques: A systematic review and meta-analysis
Nursetyo, A. A., Syed-Abdul, S., Uddin, M. & Li, Y. C., Aug 21 2019, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Seroussi, B., Ohno-Machado, L., Ohno-Machado, L. & Seroussi, B. (eds.). IOS Press, p. 10-14 5 p. (Studies in Health Technology and Informatics; vol. 264).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Transplantation (surgical)
Graft Rejection
Grafts
Kidney Transplantation
Learning systems
Prediction of clinical events in hemodialysis patients using an artificial neural network
Putra, F. R., Nursetyo, A. A., Thakur, S. S., Roy, R. B., Syed-Abdul, S., Malwade, S. & Lia, Y. C., Aug 21 2019, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Seroussi, B., Ohno-Machado, L., Ohno-Machado, L. & Seroussi, B. (eds.). IOS Press, p. 1570-1571 2 p. (Studies in Health Technology and Informatics; vol. 264).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Renal Dialysis
Neural Networks (Computer)
Neural networks
Renal Replacement Therapy
Vital Signs