Antipsychotic-Based Machine Learning Models May Help Prediction of Tardive Dyskinesia in Patients with Schizophrenia- commentary on generalizability of results

Uludag et al., in a study published in Schizophrenia Research, explored the potential of antipsychotic-based machine learning models for predicting tardive dyskinesia (TD) in patients with schizophrenia. The study employed algorithms such as random forest and support vector machines, and Read More …

Post-traumatic and dissociative symptoms as significant predictors of depression: Results from an international follow-up survey study- commentary

Commentary: This study makes a valuable and timely contribution to the field by addressing a critical gap in our understanding of the relationship between trauma, dissociation, and depression. Its longitudinal design—following participants over six months—is a notable methodological strength, allowing Read More …