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Coles Artificial Intelligence for Detecting Mental Disorders: Concepts and Methodologies at Bayshore Shopping Centre in Ottawa, ON
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Mental disorders can affect the ability of an individual to relate to others and function normally. While there are many 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 1 billion people globally currently living with a mental disorder. When considering ever having a disorder in life, broad research suggests roughly 30% people worldwide will experience one at some point. In view of this silent epidemic, it is imperative to come up with state-of-the-art techniques including 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.
Mental disorders can affect the ability of an individual to relate to others and function normally. While there are many 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 1 billion people globally currently living with a mental disorder. When considering ever having a disorder in life, broad research suggests roughly 30% people worldwide will experience one at some point. In view of this silent epidemic, it is imperative to come up with state-of-the-art techniques including 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.
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