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Computable Phenotype Lecture
This recorded lecture discusses the art of creating a "computable phenotype," or electronic health record data-driven case definition. The content is a high-level overview of the concept, and is intended for clinical researchers who may not be informaticians themselves, but wish to work with informaticians or analysts to define patient cohorts electronically.
CLARK! is a machine-learning classifier developed through a collaboration between NC TraCS and CoVar Applied Technologies, a Durham, NC-based machine learning company. CLARK! is designed to take clinical notes as input, and classify those notes based on features defined by the user as regular expressions. To try CLARK! for yourself, download all files in this directory, and open the README file for a brief overview on getting started. Fuller documentation of CLARK! (in addition to a user-friendly manual) will be available in the near future, but in the meantime, reach out to epfaff at email dot unc dot edu with any questions.
About i2b2@UNC Training NEW
This document explains the in-person Introduction to i2b2 training program developed at UNC. It is designed to be used as guidance for those looking to create their own i2b2 training. It should be used in conjunction with the Introduction to i2b2 slide deck.
This presentation provides an overview of CDRNs and how they use health data. This presentation can be used to learn more about CDRNs, their projects, and how they use their data. The presentation is used for in-person informational sessions with researchers and research staff at University of North Carolina at Chapel Hill (part of Mid-South CDRN).
This slide deck outlines the Introduction to i2b2 training used at UNC. It is designed to be modified by others wishing to create an i2b2 training. It should be used in conjunction with the About i2b2@UNC Training document.