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Towards Foundation Models for Electronic Health Records

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Electronic Health Records Courses Machine Learning Courses Predictive Analytics Courses Data Privacy Courses Foundation Models Courses

Course Description

Overview

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Explore the potential of foundation models for Electronic Health Records in this informative conference talk from the Computational Genomics Summer Institute. Delve into Jeffrey Chiang's insights on the challenges and opportunities in applying large language models to healthcare data. Examine the limitations of current approaches, as discussed in related research papers, and learn about innovative solutions such as using clinical pseudo-notes for emergency department decision support. Gain a deeper understanding of the complexities involved in developing robust AI models for electronic health records and their potential impact on improving patient care and clinical decision-making.

Syllabus

Jeffrey Chiang | Towards foundation models for Electronic Health Records | CGSI 2024


Taught by

Computational Genomics Summer Institute CGSI

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