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  • University of Utah
  • Salt Lake City, UT

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@medspacy

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abchapman93/README.md

Overview

I am a clinical data scientist and educator. As a data scientist, I apply methods including natural language processing and machine learning to support clinical research and improve patient care. As an educator, my goal is to introduce students of diverse backgrounds to Informatics and empower them to learn and apply core data science skills.

What I'm working on

Educational Work

I work as an adjunct professor at Utah Valley University, where I teach INFO-3700: Foundations of Healthcare Informatics. I've also taught at various summer schools and online workshops. Whenever possible, I try to make my materials available publicly. Here are some links to online courses or tutorials which I've contributed to.

  • Foundations of Healthcare Informatics, Fall 2020: Materials include analyzing clinical data with MIMIC, training a machine learning classifier to predict diabetes, and using NLP to extract information from clinical text
  • MIMIC34MD: A crash course in clinical data science at the University of Melbourne

Pinned Loading

  1. medspacy/medspacy medspacy/medspacy Public

    Library for clinical NLP with spaCy.

    Jupyter Notebook 533 91

  2. VA_COVID-19_NLP_BSV VA_COVID-19_NLP_BSV Public

    An NLP pipeline for COVID-19 surveillance used in the Department of Veterans Affairs Biosurveillance.

    Jupyter Notebook 13 10

  3. info_3700_spring_2021 info_3700_spring_2021 Public

    Class repository for UVU's INFO-3700 Health Informatics Fundamentals

    Jupyter Notebook 4

  4. ReHouSED ReHouSED Public

    NLP system for identifying patient housing status in Veteran Affairs

    Jupyter Notebook 9 1