Early Depression Prediction and Estimation with EEG Signals using Machine Learning Algorithm

Abstract

Depression is a mental disorder that causes feelings of unhappiness and loss of interest. Depression is afflicting a significant portion of the world's kids and adults at the present time. Falls in the early detection of depression or falls in the timely analysis of a depressed individual might create significant complications. Depression can cause serious issues. It is one of the most common causes of suicidal behaviour. But unfortunately, our culture still refuses to recognise depression as a physical condition, resulting in a significant percentage of sad people being unidentified and untreated. In this research, we examined machine learning classifiers that use sociological and psychological data to determine whether a person is sad or not.