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 …