+DataScience (+DS) is a new initiative at Duke providing online training modules and in-person learning experiences to help people in all disciplines in the Duke community learn more about Data Science. Before registering for any of the in-person workshops, you should complete one or more of the four pre-requisite online modules. 

Machine learning has increasingly been applied with success in many aspects of medicine. These methods are likely to “disrupt” clinical practice. This reading group will meet monthly, and in each session review a recent application of machine learning to medicine. The specific paper that will be reviewed in this session is: Gulshan V, Peng L, Coram M, et al. “Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs,” J. of the American Medical Assoc. (JAMA). 2016;316(22):2402–2410. doi:10.1001/jama.2016.17216.

Instructor: Matthew Engelhard

Location: Trent Semans Center for Health Education, 4067 (Classroom 4)

Prerequisite Module(s): Module 1: Introduction to Machine Learning, Module 3: Image Analysis and the Convolutional Neural Network

Register: https://training.oit.duke.edu/enroll/common/show/21/172635