Machine Learning Pipeline

Improving the Machine Learning Pipeline at Duke


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 (PDF)

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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