Optimizing Machine Learning Models and NLP Techniques for Accurate Depression Detection in Patients with PTSD

This study explores the use of various machine learning classifiers, feature engineering, and data preprocessing techniques to build accurate depression detection models, particularly for patients with comorbid post-traumatic stress disorder (PTSD).