United Neurological study of disorders: Alzheimer's disease, Parkinson's disease detection, Anxiety detection, and Stress detection using various Machine learning Algorithms

The biomedical study of large-scale multimodal neuroimaging data is popular nowadays due to advancements in deep learning and machine learning algorithms. This article has studied four different types of neurocircuitry disorders or diseases that help human beings prevent or detect them in the early stages for easily starting the treatment. a) Early detection and classification of Alzheimer's disease (AD) b) Parkinson's detection (a neurocircuitry disorder that had slowed the activity) c) Generalized anxiety disorder d) stress prediction for patients of stress) Here, this work briefly reviews the important literature on neurological diseases and explores how deep learning can help researchers to diagnose the disease at its primary stages