Automated Schizophrenia Detection and Classification (STFDL-ASDC): A Proposed Model for Self-Reported Schizophrenic Episodes
Schizophrenia is a severe mental illness that disrupts brain functions such as perception and thought, leading to profound impacts on individuals’ lives. Its early diagnosis is complex, often hindered by multiple comorbidities that challenge effective patient management and reduce the likelihood of positive outcomes. This study aims to enhance the detection of schizophrenic episodes through a novel deep learning-based Automated Schizophrenia Detection and Classification (STFDL-ASDC) model that uses self-recorded video data. Our approach extracts spatial ...