Automation of Depression Prediction Using DTI-MRI Images and EMG Signals

According to World Health Organisation (WHO), Depression is a leading cause of disability worldwide with almost percent of the population affected, including 5.0 percent of adults. There are nearly 280 million people in the world who suffer from depression. Major depression disorder (MDD) is the greatest cause of disability and morbidity, post-COVID-19. It is known to significantly affect the quality of life and create a socioeconomic burden. The solution to this problem includes diagnosing depression before even the onset of the disease. There exist many cases studies have been conducted in this area of research which includes clinical trials on using DTI-MRI Images and MRI Images to detect depression in mood-affected and non-affected individuals. It was proven to be successful that depression can be diagnosed from DTI-MRI and MRI Images. This served as an innovation towards this research of automating depression prediction from DTI-MRI Images using Machine Learning and thus saving lives.