Working with Big Data
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Availability
On-Demand
Expires on Dec 31, 2023
Cost
Member: $0.00
Non-Member: $45.00
In-Training Member: $0.00
Resident Member: $0.00
Resident Non-Member: $45.00
Credit Offered
1 Participation Credit
  • Course Description
  • Target Audience
  • Learning Objectives
  • Faculty
  • Recommended
This is the recorded presentation of the live webinar.

Join the Adrenal Pituitary Special Interest Group for a webinar on working with big data. Gain knowledge about machine learning research and how its algorithms can be used to compare different models in the field of endocrinology. 
The intended audience for this activity includes physicians-in-practice, fellows, residents, clinical and scientific researchers, educators and teachers. 
  1. To describe the process of conducting machine learning research using large electronic health record data.
  2. To recognize common types of machine learning algorithms used in healthcare and to understand how to compare performance of different models.
  3. To review machine learning research and potential applications in the field of endocrinology.
Speakers:
  1. Nestoras Mathioudakis, MD, MHS Co-Medical Director, Associate Professor of Medicine, MHM Diabetes Prevention and Education Program, Johns Hopkins University of Medicine
  2. Roberto Salvatori, MD Professor of Medicine and Medical Director Johns Hopkins University School of Medicine

Moderator

    1. Neelanjan Mukherjee, PhD Assistant Professor University of Colorado Anschutz Medical Center
   
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