A Systematic Comparison of Traditional and Machine Learning Algorithms for Predicting Psychiatric Outcomes: Prediction of Response to Antidepressant Treatments In Major Depression

Machine learning for predicting outcomes has been gaining recognition in psychiatry. We conducted a systematic comparison of machine learning algorithms using data from a clinical trial of 452 patients. Machine learning models outperformed traditional model building approaches for predicting treatment response