Biomedical Informatics Strategies to Enhance Individualized Predictive Models
Offered By: Yale University via YouTube
Course Description
Overview
Explore cutting-edge biomedical informatics strategies for improving individualized predictive models in this keynote lecture delivered by Lucila Ohno-Machado at Yale University. Delve into the latest advancements and techniques used to enhance the accuracy and effectiveness of personalized healthcare predictions. Gain valuable insights into how data-driven approaches are revolutionizing patient care and treatment outcomes. This 47-minute presentation, part of the Deep Reconstruction Workshop held on March 24, 2023, offers a comprehensive overview of the intersection between biomedical informatics and predictive modeling, highlighting its potential to transform the future of medicine.
Syllabus
Biomedical Informatics Strategies to Enhance Individualized Predictive Models
Taught by
Yale Radiology and Biomedical Imaging
Tags
Related Courses
Identifying Patient PopulationsUniversity of Colorado System via Coursera Essentials of Genomics and Biomedical Informatics
Bar-Ilan University via edX Deep Learning in Biomedicine - Challenges and Opportunities
Devoxx via YouTube Deep Data Needs and Challenges in Precision Medicine
Webteam CSC via YouTube Large Language Models in Biomedical Applications - Challenges and Evaluation
Johns Hopkins Medicine via YouTube