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Arts and Sciences

Department of Computer Science

Research


Data and its analysis are invaluable in the healthcare sector for confident diagnosis, treatment planning, and social policy determination especially in the face of new healthcare challenges as posed by the recent COVID19 pandemic. However, the development of computational analysis techniques, such as machine learning models, often follows the trends of computational domain fields instead of prioritizing the needs and challenges of the application field (e.g. healthcare). Based on our previous works, done in association with various medical collaborators, we observe that:

 

 

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