Automatic Extraction of Patient Problems with Clinical Notes Text 

Capstone Project: Master’s in Interdisciplinary Data Science

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Description:

Collaborated with Duke Health and Duke OIT to create a program that automatically measures the progress of medical students, using their clinical notes as input – achieved an 88.1% success rate for correctly detecting note segments and parsing them into model-interpretable data frames

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