The group currently identified the following areas based on the importance and timeliness of the research issues behind as well as the expertise of the members of the research group.
- Computational Epidemiology
To develop computational techniques and tools for collecting, mining and visualizing source data as well as disease transmission/diffusion networks in order to timely detect, monitor and control emerging disease spread or epidemic outbreaks.
- Mobile Health
To develop middleware and system prototypes which can support mobile health ranging from data capturing, signal processing, to activity recognition.
Current project: A Prototyping Environment for Ubiquitous Healthcare Systems
- Evidence-based Medicine and Clinical Decision Support System
To develop text mining and AI reasoning methods and related prototypes for incorporating evidence-based medicine support into clinical decision support systems.
Current project: Clinical decision support system and clinical data analysis
- Medical Data Forensics
To develop computational techniques and tools for analyzing and assessing the validity of health and medical related data and/or the associated subjects.
Current Project: Detecting the Counterfeits of Chinese Herbs in Mobile Platform
- Healthcare Process Optimization
To develop computational methodologies for modeling and mining healthcare process related data for process optimization. Related issues include bottleneck detection, patient wait time shortening, etc.
Current Project: Process mining for patient journey shortening