Matthew Kollada

Machine learning models identify multimodal measurements highly predictive of transdiagnostic symptom severity for mood, anhedonia, and anxiety

The paper develops machine learning models using multimodal data to predict transdiagnostic psychiatric symptom severity, achieving high variance explanation and revealing key predictors.

Highly Predictive Transdiagnostic Features Shared across Schizophrenia, Bipolar Disorder, and ADHD Identified Using a Machine Learning Based Approach

The paper identifies transdiagnostic features shared across schizophrenia, bipolar disorder, and ADHD using machine learning on self-reported data, showing high predictive power for distinguishing patients from controls.