Building Prediction Models with Electronic Health Records Data
This event has ended.
Date and time
Price
Free
Description
This hands-on workshop will introduce key principles and best practices for developing prediction models using EHR data. Topics will include cohort definition, feature engineering from structured and unstructured EHR data, model selection and evaluation, and common challenges such as data leakage and bias.
The session aligns with the CTSA Informatics mission to strengthen data science and analytics capabilities by building practical skills for reproducible, clinically meaningful prediction modeling.
Speakers
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Research Faculty I
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Professor