jacobdeasy/flexible-ehr
Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
This project helps medical researchers and clinicians predict patient outcomes in the Intensive Care Unit (ICU) without needing to manually select or clean data. It takes raw clinical data from the MIMIC-III database, processes it, and outputs predictions on patient outcomes. This tool is designed for researchers and medical professionals who work with large-scale electronic health records and need efficient, automated predictive models.
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Use this if you are a medical researcher or clinician working with the MIMIC-III clinical database and need to quickly develop predictive models for ICU patient outcomes.
Not ideal if you are not working with time-series electronic health record data or if you need to build predictive models for a domain outside of critical care.
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19
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Language
Python
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Last pushed
Jul 06, 2020
Commits (30d)
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