The Synthetic Mental Health Prediction Dataset was developed as part of a university thesis project on machine learning\u2013based mental health analysis. The dataset is designed to simulate sur
Background: In recent times, adolescents with severe forms of psychopathology that do not unambiguously fit into a precise diagnostic category, have come to clinical observation. The diagnoses attribu
Data are mean (SD) or N (%). Four participants (3 PD, 1 HR) had missing data for prolactin analyses.Abbreviation: PANSS = Positive and Negative Syndrome Scale; MCCB = MATRICS Consensus Cognitive Batte
