Improving the Machine Learning Pipeline at Duke

Project Summary

Dima Fayyad (Electrical & Computer Engineering), Sean Holt (Math), David Rein (Computer Science/Math) spent ten weeks exploring tools that will operationalize the application of distributed computing methodologies in the analysis of electronic medical records (EMR) at Duke.

As a case study, they applied these systems to an Natural Language Processing project on clinical narratives about growth failure in premature babies.

Click here to read the Executive Summary

Themes and Categories
Year
2018
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

Disciplines Involved: PreHealth/PreMed, BME, Economics, Biostatistics, all quantitative STEM

Project Leads: Ricardo Henao, Robert Overton

Project Mangers: A.J. Overton, Ben Neely

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