Tutorial Outline
The tutorial is planned for two hours. Specifically, its schedule is
-
Introduction to Healthcare Data and Applications
10 minutes
Dr Guodong Long
-
Challenges in Mining from Real-world Healthcare Data
10 minutes
Dr Weitong Chen
-
Privacy-Preserving for Digital Health and Healthcare Informatics: An Open Innovation Future with Federated Learning
30 minutes
Dr Guodong Long
-
Break
10 minutes
-
From Defect to Fair Facts, Mining Imbalanced and Annotation-Missing Health Data
25 minutes
Dr Weitong Chen & Dr Miao Xu
-
Enhance Trustworthy by Generalizing from a Few Example: a Few-shot Approach for Medical Data
20 minutes
Dr Lina Yao
-
Open Problems, Frontiers and Future
10 minutes
Dr Lina Yao
Target Audience
The proposed tutorial targets a broad range of audience, including students, researchers and healthcare practitioners who want to catch up with the problems, algorithms, and applications in the area of mining healthcare data. Besides, we also welcome any participant with related knowledge on data mining to join the tutorial. Since healthcare data bears many properties that may be shared by data from other application domains, solutions to real-world healthcare data may also benefit other applications.
Although we will introduce the basics of knowledge required, it is better to have some knowledge in college-level mathematics and data mining. The emphasis will be on introducing the special challenges brought by healthcare applications, and the intuition on methodologies to solve those challenges. The tutorial will be self-contained in a high level.
Presenters and contributor
The tutorial will have three presenters, including
Dr Weitong chen
University of Adelaide, AU
A/Prof Guodong Long
University of Technology Sydney, AU
Prof Lina Yao
CSIRO - DATA 61 and UNSW, AU
Dr Miao Xu
University of Queensland, AU
Dr Sen Wang
University of Queensland, AU