Predicting Schizophrenia with Machine Learning

This chapter explores the capabilities and constraints of machine learning models in forecasting schizophrenia, highlighting their low positive predictive value and the necessity of cautious interpretation in clinical environments. It emphasizes the importance of analyzing clinical data and patient notes to enhance prediction accuracy and the potential for early diagnosis.