Deep learning models for text-based patient phenotyping

This year I’ve had the pleasure of participating in a team at MIT identifying characteristics that make patients likely to be intensive care unit “Frequent Fliers” - patients with multiple ICU admissions in a short time span. This series will explore the implementation of text-based patient phenotyping we use as …

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ICD9-based encounter classification on MIMIC III

We saw in the previous post that there is promise to using ICD9 codes for pre-classifying encounters more likely to have our concepts of interest. In this post we’ll walk through building simple logistic regression classifiers based on a training data set, and will evaluate their performance on a …

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