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Addressing Conflicting and Missing Data in Telemedicine and other Electronic Patient Monitoring Environments


IAP and Spring


CSAIL: Computer Science and Artificial Intelligence Lab

Faculty Supervisor:

Amar Gupta

Faculty email:

Apply by:



Tianqi Zhou: tianqi@mit.edu

Project Description

This involves studying of underlying data and creation of computational/statistical algorithms that will allow the medical personnel to efficiently understand the presence and impact of divergent or missing vital sign data for patients. One of the approaches involves creation of synthetic data. Another involves the use of Patient Based Outcomes (PROs). Please take a quick look at: learning-modules.mit.edu/materials/index.html?uuid=/course/6/sp18/6.884#materials


Senior and juniors with relevant experience preferred.