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Enhancing Human Health with Sensing & AI

SensAI (pronounced sen-say, 先生) describes those who share knowledge or expertise.

Publications

The Prevalence and Predictors of Digital Proxy Behavior in the United States: Cross-Sectional Survey Study
Journal of Medical Internet Research, 27, e69806 (2025)
Foong, P. S., Zakaria, C., Pakianathan, P., Phua, A. I. H., and Koh, G. C.
Proxy Medical Decision-Making: National Survey
BMJ Supportive & Palliative Care (2024)
Phua A., Zakaria, C., Pakianathan PVS., Chan N., Lim MJR., Liew TM., Koh GCH., and Foong PS.

Employing Computer Vision and Machine Learning Techniques to Estimate Black Carbon Emissions from Traffic Activities
Climate Positive Energy Research Day (2025)
Sadeghi, A., Zakaria, C.
[Thesis] Human-centered AI for Mental Health: From Risk Prediction to Physician-aligned Design Guidelines
MSc, Health Service Research, AI Stream
Muhammad, S.
[Thesis] From Cameras to Concentrations: Estimating Black Carbon From Vehicles with Machine Learning and Computer Vision Techniques
MSc, Health Service Research, AI Stream
Sadeghi, A.
Comparing Approaches to Time-Dependent Covariates in Survival Analysis: Extended Cox vs. Machine Learning Models
DLSPH Biostatistics Research Day (2025)
Liao, V., Zhang, J., Xu, B., and Zakaria, C.