JMIR AI, an open-access, peer-reviewed journal published by JMIR Publications, invites you to a webinar titled Some Guidelines for Publishing a Machine Learning Modeling Study.
Developing machine learning models for health data requires meticulous attention to detail at each stage—from data preparation and model training to result interpretation and reporting. This process is often complex, and even models that appear successful may fall short in utility and validity due to subtle methodological issues. Join Dr. Khaled El Emam, Co-Editor-in-Chief of JMIR AI, for an insightful discussion on key strategies for building robust machine learning models and the common pitfalls to avoid, ensuring your work is ready for publication.
Date: Wednesday, December 4, 2024
Time: 1 PM ET
Speaker:
Khaled El Emam, PhD
Dr. Khaled El Emam is a leading authority in medical AI, holding the Canada Research Chair (Tier 1) in Medical AI at the University of Ottawa. A Senior Scientist at the CHEO Research Institute and Director of the Electronic Health Information Laboratory, Dr. El Emam’s work focuses on privacy-enhancing technologies that support the sharing of health data, including synthetic data generation and de-identification methods. As Scholar-in-Residence at Ontario’s Office of the Information and Privacy Commissioner, he brings extensive expertise in the ethical application of AI to health data.