In the wake of rapid advancements in artificial intelligence (AI), we stand on the brink of a
transformative leap in data systems. The imminent fusion of AI and DB (AI× DB) promises a …

In National University Hospital (NUH) in Singapore, we conduct healthcare analytics that
analyzes heterogeneous electronic medical records (EMR) to support effective clinical …

Federated learning (FL) has emerged as a paradigm to train a global machine learning
model in a distributed manner while taking privacy concerns and data protection regulations …

Singapore has been striving to improve the provision of healthcare services to her people. In
this course, the government has taken note of the deficiency in regulating and supervising …

Multi-modal learning leverages data from diverse perceptual media to obtain enriched
representations, thereby empowering machine learning models to complete more complex …

Serverless computing has received growing interest in recent years for supporting large-
scale machine learning tasks. However, training a machine learning model in a serverless …

Cohort studies are of significant importance in the field of healthcare analysis. However,
existing methods typically involve manual, labor-intensive, and expert-driven pattern …