Artificial Intelligence For Detecting Mental Disorders

Mental disorders can affect the ability of an individual to relate to others and function normally. While there are any different types of mental disorders, some common ones include anxiety disorders like panic, obsessive-compulsive disorder, phobias, depression, bipolar disorder, eating disorders, personality disorders, post-traumatic stress disorder, and psychotic disorders including schizophrenia. Mental disorders are common with around 970 million to over 1.1 billion people globally currently living with a mental disorder. When considering ever having a disorder in life, broad research suggests roughly, 1 in 4, to, 1 in 3, people worldwide will experience one. In view of this silent epidemic, it is imperative to come up with state of the art techniques including Artificial Intelligence (AI) to stem it. By addressing the new frontiers of AI in medical applications, this insightful book provides knowledge and the associated wisdom to researchers. Since the subject is relatively unexplored, there is a good opportunity for researchers to form a platform to pitch their ideas for the goal of AI-based problem solving. The methodologies involved include developing robust and accurate disorder prediction technologies, and even disorder management technologies, from body-state data, and body-signal data like MRI, EEG, ECG, polygraph test data, history, prescriptions, etc.