論文發表 Publications：
Facial Mimicry and Doctor-Patient Satisfaction: The Feasibility of Artificial Empathy in a Clinical Video Data
Rahmanti, A. R., Huang, C. W., Muhtar, M. S., Yang, H. C., & Li, Y. J. (2024).Studies in health technology and informatics, 310, 1116–1120. https://doi.org/10.3233/SHTI231138
Artificial Intelligence Approach for Severe Dengue Early Warning System
Anggraini Ningrum, D. N., Li, Y. J., Hsu, C. Y., Solihuddin Muhtar, M., & Pandu Suhito, H. (2024).Studies in health technology and informatics, 310, 881–885. https://doi.org/10.3233/SHTI231091
The Landscapes of Type 2 Diabetes Mellitus Prediction Research: A Bibliometric Study of Four Decades (1976-2023)
Ningrum D.N.A.; Muhtar, M.S. (2024/10),International Conference on Health Science, Practice, and Education, Semarang, Indonesia, October 26, 2024.
From Cognitive Decline to Dementia: A Bibliometric Study of Health Literacy among the Aging Population
Muhtar, M.S.; Hs, M.H. (2024/05)Proceedings of the International Seminar and Workshop Public Health ISWOPA 2023, September 25-26, 2023, Semarang, Indonesia.
Depression Among Islamic Boarding Schools Students During the COVID-19 Pandemic in East Java, Indonesia
Asri Y , Priasmoro DP , Muhtar MS , et al. Depression Among Islamic Boarding Schools Students During the COVID-19 Pandemic in East Java, Indonesia. Kesmas(2024)Kesmas. 2024; 19(1): 51-58
Web-based artificial intelligence to predict cognitive impairment following stroke: A multicenter study
Hasan, F., Muhtar, M. S., Wu, D., Chen, P. Y., Hsu, M. H., Nguyen, P. A., Chen, T. J., & Chiu, H. Y. (2024).Journal of stroke and cerebrovascular diseases
Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study
Lee, L. T., Yang, H. C., Nguyen, P. A., Muhtar, M. S., & Li, Y. J. (2023).Journal of medical Internet research, 25, e39972. https://doi.org/10.2196/39972
Post-Stroke Insomnia Increased the Risk of Cognitive Impairments: A Hospital-Based Retrospective Cohort Study
Hasan, F., Muhtar, M. S., Wu, D., Lee, H. C., Fan, Y. C., Chen, T. J., & Chiu, H. Y. (2023). Behavioral sleep medicine, 21(6), 802–810. https://doi.org/10.1080/15402002.2023.2165491
One-year Post-Stroke Prediction on Cognitive Impairment: A Machine Learning Approach
Muhtar, M.S.; Nguyen, P.A.; Hsu. J.C. (2022/10),2022 OHDSI Global Symposium, October 14-16, 2022, Maryland, USA.
SlimMe, a Chatbot With Artificial Empathy for Personal Weight Management: System Design and Finding
Rahmanti, A. R., Yang, H. C., Bintoro, B. S., Nursetyo, A. A., Muhtar, M. S., Syed-Abdul, S., & Li, Y. J. (2022).Frontiers in nutrition, 9, 870775. https://doi.org/10.3389/fnut.2022.870775
A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record
Ningrum, D. N. A., Kung, W. M., Tzeng, I. S., Yuan, S. P., Wu, C. C., Huang, C. Y., Muhtar, M. S., Nguyen, P. A., Li, J. Y., & Wang, Y. C. (2021).Journal of multidisciplinary healthcare
Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication-Related Clinical Decision Support System: Model Development and Validation
Poly, T. N., Islam, M. M., Muhtar, M. S., Yang, H. C., Nguyen, P. A. A., & Li, Y. J. (2020).JMIR medical informatics, 8(11), e19489. https://doi.org/10.2196/19489