ARCH Workshop: NLP-Informed Feature Engineering for EHR Data, AIM AHEAD DICB Program, Laboratory of Experimental Medicine, University of Hawaii, John A. Burns School of Medicine
Created by D'Laney Kernan
Fri Feb 21, 2025
Register now to attend the virtual ARCH Workshop, "NLP-Informed Feature Engineering for EHR Data" hosted by Billy Troy Wooton.
Workshop Description:
Learn to extract, unify, and transform structured and unstructured EHR data using NLP and quantization techniques to build machine-readable features for machine learning and clustering.
Date/Time: Thursday, March 27, 2025 - 3:00 PM CT/4:00 PM ET
Location: Virtual Workshop. Zoom link will be provided upon registration.
Prerequisites for Workshop:
1. Access to a computer and a good internet connection.
2. Familiarity with programming and computational notebooks a plus but not a strict requirement.
Datasets & Tools:
Datasets: Synthetic EHR data generated with Synthea
Tools: Python, Jupyter notebooks, Binder, Google Colab, Pandas, Numpy, Scipy, Matplotlib, Scikit-learn.
Expected Outcomes:
Participants learn how to transform raw EHR data into structured, machine-readable features for downstream analytics and ML applications.
About ARCH:
The AI Resource Concierge for Health (ARCH) is supported by the National Institutes of Health AIM-AHEAD program.
ARCH Mission:
Support academic and community stakeholders in the adoption of AI/ML tools to advance their health and disease research goals.
ARCH Vision:
ARCH provides expert technical assistance, guidance and collaboration to facilitate adoption of AI/ML tools, supporting the AIM-AHEAD and wider research communities in leveraging these technologies to improve the health of the Nation.
Need Support?
Contact the AI Navigators HelpDesk to request support here: https://helpdesk.aim-ahead.net/ticket/create/35bD542BF0
Interested in learning more?
See a schedule of all upcoming ARCH Workshop details here: https://www.arch.health/stakeholder-engagement-workshops
