Abstract
Due to the recent development or maturation of database, data storage, data capturing, and sensor technologies, huge medical and health data have been generated at hospitals and medical organizations at unprecedented speed. Those data are a very valuable resource for improving health delivery, health care and decision making and better risk analysis and diagnosis. Health care and medical service is now becoming more data-intensive and evidence-based since electronic health records are used to track individuals’ and communities’ health information (particularly changes). These substantially motivate and advance the emergence and the progress of data-centric health data and knowledge management research and practice.
In this talk, we will introduce several innovative data mining techniques and case studies to address the challenges encountered in e-health and medical big data. This includes techniques and development on medical data streams, correlation analysis, abnormally detection and risk predictions with patient monitoring and aging care applications.
Biography

Instructors/Speakers
Prof. Yanchun ZHANG
Victoria University, Austria
Fudan University, China
Date & Time
11 Jan 2018 (Thursday) 11:00 – 12:00
Venue
E11-4045 (University of Macau)
Organized by
Department of Computer and Information Science