• Population mental health
• Statistics and machine learning in medicine
• Health technology

Dr. Yu Cheng Hsu is a lecturer in bioinformatics. Prior to joining HKUMed, he worked at HKJC Centre for Suicide Research and Prevention at the University of Hong Kong. Dr. Hsu specializes in analyzing and leveraging data and technology to promote mental health at both individual and population levels.

• Ph.D in Data Science, City University of Hong Kong (2022)
• B.Eng in Industrial Engineering, City University of Hong Kong (2017)

1. Fu, Z., Hsu, Y. C., Chan, C. S., Lau, C. M., Liu, J., & Yip, P. S. F. (2024). Efficacy of ChatGPT in Cantonese sentiment analysis: comparative study. Journal of Medical Internet Research, 26,
2. Fu, Z., Hsu, Y. C., Chan, C. S., Liu, J., & Yip, P. S. (2024). Using hidden Markov modelling to reveal in-session stages in text-based counselling. npj Mental Health Research, 3(1), 56.
3. Hsu, Y. C., Junus, A., Zhang, Q., Wong, C., Lam, T. M., Cheung, F., ... & Yip, P. S. (2023). A network approach to understand co-occurrence and relative importance of different reasons for suicide: a territory-wide study using 2002–2019 Hong Kong Coroner's Court reports. The Lancet Regional Health–Western Pacific, 36.
4. Hsu, Y. C., Zhao, Y., Huang, K. H., Wu, Y. T., Cabrera, J., Sun, T. L., & Tsui, K. L. (2020). A novel approach for fall risk prediction using the inertial sensor data from the timed-up-and-go test in a community setting. IEEE sensors journal, 20(16), 9339-9350.
5. Liu, J., Wong, W. T., Zwetsloot, I. M., Hsu, Y. C., & Tsui, K. L. (2019). Preliminary agreement on tracking sleep between a wrist-worn device fitbit alta and consensus sleep diary. Telemedicine and e-Health, 25(12), 1189-1197.