Publications by authors named "Ming-Jun Tu"
J Psychiatr Res
April 2024
Article Synopsis
- The study explores the relationship between minor physical anomalies (MPAs) and schizophrenia, using machine learning to predict schizophrenia risk based on MPA measurements in 470 patients and 354 healthy controls.
- The Random Forest model demonstrated the best predictive accuracy for schizophrenia, identifying key MPAs like skull height and mouth width that indicate a higher risk for the disorder.
- Additionally, the research uncovered significant two-item interactions among various MPAs contributing to the risk of schizophrenia, with weaker interactions found among three items.
