Comparing Interpretability Metrics for Diagnostic Classification of Neuropsychiatric Disorders Using Clinical MRI Data

Elise Bailey


Supervised by Matthias Treder; Moderated by Stuart M Allen

This project will be jointly supervised with the University of Stellenbosch, South Africa. They collected a brain imaging dataset involving Parkinson's, PTSD, and schizophrenia patients. The data have been preprocessed and parameters describing the brain structure have been extracted. This is a data science project, that is, you will use Sci-kit learn and statistics in Python to analyse, visualise and interpret the data. Excellent Python skills are vital, prior knowledge of machine learning is highly desirable.

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

Final Report (14/05/2020) [Zip Archive]

Publication Form