HIV Neuroimaging Data Analysis and Supervised Machine Learning

Robert Taylor


Supervised by Matthias Treder; Moderated by Víctor Gutiérrez Basulto

HIV is one of the deadliest infections affecting almost 40 million people in the world. It's estimated that 20.4% of South African Women have been infected. As HIV causes neuroinflammation and neuronal death, it should be detectable in neuroimaging data. A neuroimaging dataset has been provided by Stellenbosch University, South Africa with 124 participants involved. This project will use data analysis and machine learning techniques in the python programming language to help understand the brain tissue and cognitive variables for HIV positive women in South Africa.

Initial Plan (03/02/2020) [Zip Archive]

Final Report (15/05/2020) [Zip Archive]

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