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Machine Learning for Analyzing Electronic Health Records


Term:

Summer

Department:

6: Electrical Engineering and Computer Science

Faculty Supervisor:

Martin Rinard

Faculty email:

rinard@mit.edu

Apply by:

May 6, 2020

Contact:

rinard@mit.edu

Project Description

Use machine learning techniques to analyze electronic health records to build predictive models of disease occurrence. You will work with researchers from MIT EECS/CSAIL and a doctor from Beth Israel. The immediate goal is to predice pancreatic cancer.

Pre-requisites

The ability to write code to process somewhat noisy/unstructured data, good programming skills, ability to work productively with machine learning platforms.