CovIdentify

Project Summary

A team of students led by researchers in the BIG IDEAS lab in the biomedical engineering department will build and validate machine learning techniques to classify longitudinal illness trajectories of individuals with infections such as COVID-19 or flu. Students will construct a pipeline to query survey and wearable device data from our newly constructed database in the Microsoft Azure environment and modify existing machine learning and deep learning algorithms for wearables data analysis. This project will build upon the work accomplished by the Duke Bass Connections team and the Duke MIDS capstone project.

Project Lead: Jessilyn Dunn

Themes and Categories
Health, Interdisciplinary Inquiry
Data+, Genomics and the Life Sciences, Health Systems Operations
Year
2021
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu
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