ARCH Workshop: Exploratory Analysis of EHR Data in Jupyter and Pandas, 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, "Exploratory Analysis of EHR Data in Jupyter and Pandas" hosted by Billy Troy Wooton.
Workshop Description:
Learn to load, preprocess, and analyze EHR data using Python tools such as Pandas, NumPy, and Matplotlib, gaining hands-on experience in exploratory data analysis and visualization.
Date/Time: Thursday, March 13, 2025 - 2:00 PM CT/3:00 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.
Expected Outcomes:
By the end of this workshop, participants will:
Gain hands-on experience analyzing EHR data using industry-standard Python tools and extracting meaningful research insights.
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
