Events
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IMPACT-MH Monthly Seminar: Machine learning paradigms for single subject prediction
Please join us for the next IMPACT-MH seminar, featuring Dr. Danilo Bzdok. Dr. Bzdok is a medical doctor and computer scientist with a dual background in systems neuroscience and machine learning algorithms. After training at RWTH Aachen University (Germany), Université de Lausanne (Switzerland), and Harvard Medical School (USA), he completed one Ph.D. in cognitive neuroscience […]
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Annual Consortium Meeting
Meeting Agenda
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Intro to Using OMOP for IMPACT-MH
This workshop provides a practical introduction to using the OMOP Common Data Model within the IMPACT-MH framework. Led by experts from the Data Coordinating Center (DCC), the session will walk through core OMOP concepts and focus on real-world implementation at participating sites. Topics covered include: Who should attend?Data managers, software engineers, and data scientists are […]
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Managing EHR Data: Duke-PMA
Implementing a Standardized Research Data Model Duke-PMA EHR Data Standardization Session Join Dr. Ben Goldstein (Professor, Department of Biostatistics & Bioinformatics) and Nelda Bradley (Manager, ACE Applied Data Science) from Duke-PMA for a discussion on EHR data standardization within the Duke-PMA project. Session Overview With over 10 years of experience working with standardized EHR data, […]
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Creating New Data Structures for NDA Submission Tutorial
Join Ellen Zhou and Christian Horgan for this tutorial. Additional Information:
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Operationalizing Research Questions with EHR Data
Authors: Nicole Weiskopf, Ayo Babatunde, Steven Bedrick, Mary Roberts Davis Operationalizing research questions and hypotheses using electronic health record (EHR) data remains a major methodological bottleneck in clinical and epidemiologic research. A core challenge is not simply identifying the “correct” EHR variable, but rather acknowledging that multiple defensible operationalizations often exist for the same concept. […]