Machine and Deep Learning

My research in machine learning focuses on developing mathematical models that yield accurate, repeatable predictions for OCD symptomatology. My primary interest in deep learning is to fuse data from multiple sources (e.g., electroencephalography, functional MRI) to predict treatment outcomes for OCD and anxiety disorders.

Deep Neural Network

In Progress

Zaboski, B. A. The potential of deep learning in obsessive-compulsive disorder research.

Zaboski, B. A., & Muller, G. Personality, gender, and religiosity as predictors of scrupulosity: An exploratory machine learning approach.

Zaboski, B. A., & King, K. Diagnostic classification of OCD using a machine learning approach.