Comprehensive Evaluation of Pipelines for Classification of Psychiatric Disorders Using Multi-Site Resting-State fMRI Datasets

Comprehensive Evaluation of Pipelines for Classification of Psychiatric Disorders Using Multi-Site Resting-State fMRI Datasets

Background Introduction The field of psychiatry has long relied on symptoms and medical interviews for diagnosis, lacking objective biomarkers. Resting-state functional magnetic resonance imaging (rs-fMRI) is widely believed to reveal characteristic patterns of brain structure and function, thereby providing potential classification markers for the...

Explaining the Better Generalization of Label Distribution Learning for Classification

Understanding Why Label Distribution Learning Exhibits Better Generalization in Classification Background Introduction In the fields of artificial intelligence and machine learning, classification problems have always been a central focus for researchers. With the continuous development of multi-label learning (MLL) and single-label learning (SLL),...

Effect of Immunosuppression in Risk of Developing Generalized Symptoms in Ocular Myasthenia Gravis

The Effect of Immunosuppression on the Risk of Generalization in Ocular Myasthenia Gravis Background Ocular Myasthenia Gravis (OMG) is an early and localized manifestation of Myasthenia Gravis (MG), with many patients initially presenting with ocular symptoms such as fatigable ptosis and diplopia. Approximately 85% of MG patients initially exhibit ...