Visualization Techniques
This project will aggregate health data into multiple models, which primarily aim to detect EIDs but are also capable of predicting the effects of policy interventions. The main objective is to develop innovative computational approaches for 1) fitting multiple models to large quantities of health data, and 2) evaluating these models for a variety of scenarios.
  • Co-Project Investigators: Usman Alim (University of Calgary) and Mea Wang (University of Calgary)
Networks »Networks
OMNI – Research »OMNI – Research
01 Data Management »01 Data Management
Visualization Techniques
Mea Wang »Mea Wang
Usman Alim »Usman Alim
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