MRI feature engineering and SVM framework for schizophrenia recognition

Purpose: Early diagnosis of schizophrenia plays a crucial role in improving patients' prognosis and effectively reducing the social burden. However, traditional diagnosis methods mainly rely on the subjectivity of clinical evaluation and lack objective quantitative basis, which poses significant challenges to the early recognition of schizophrenia. In recent years, although machine learning methods based on neuroimaging have made certain progress, when dealing with high dimensional, small sample MRI data, there are still problems such as low automation of feature extraction and insufficient model generalisation ability.