Artificial-Intelligence based Prediction of Post-Traumatic Stress Disorder (PTSD) using EEG reports
Shaif Mehraj Makhdoomi, Manik Rakhra, Dalwinder Singh, Arun Singh
Abstract
PTSD: A person may develop post-traumatic disorder if they are unable to recover from or overcome a stressful event. It is among the disorders that go undetected and undiagnosed. The symptoms of PTSD are remarkably similar to those of other psychiatric diseases, making the diagnosis very challenging. When someone experiences or witnesses a traumatic event, they may develop a variety of persistent mental, emotional, and behavioral disorders. This condition is known as post-traumatic stress disorder (PTSD). People who have PTSD frequently have intrusive, unwanted and upsetting thoughts, which may be followed by flashbacks, frequent nightmares, and intensely negative responses to sensory inputs like sounds and touch. Because of this, diagnosing it might be difficult due to its varied presentation. EEGs have recently been discovered to be helpful in the diagnosis of PTSD. This paper aims at providing a methodology for predicting PTSD using EEG reports of the effected person.