Data Dialogue: Machine Learning in Global Health: Teaching Old Data to Do New Tricks
Friday, February 28, 2020
11:45 am - 1:00 pm
Amy Finnegan, IntraHealth
Data Dialogue
Sponsor(s): Information Initiative at Duke (iiD), +DataScience (+DS), Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Energy Initiative, Information Science + Studies (ISS), Mathematics, Pratt School of Engineering, Social Science Research Institute (SSRI), and Statistical Science
LUNCH: 11:45 am
SEMINAR: Noon
IntraHealth International is a global health NGO based in Chapel Hill, NC that supports governments in Africa, Asia, and Central America to end the HIV epidemic, provide rights-based family planning services, and promote public health. Over the last several years, global health has tried to become data driven by collecting more data with the result that there is little time to make sense of and act on the data we have collected. I will present on a project we implemented using machine learning to see if we could make sense of the program and population level data we have to be quickly pointed in directions that might be more actionable.
Contact: Ariel Dawn
