

When compared to psychoactive medications, review studies have found CBT alone to be as effective for treating less severe forms of depression, anxiety, post-traumatic stress disorder (PTSD), tics, substance use disorders, eating disorders, and borderline personality disorder. CBT is based on the belief that thought distortions and maladaptive behaviors play a role in the development and maintenance of many psychological disorders and that symptoms and associated distress can be reduced by teaching new information-processing skills and coping mechanisms.


The therapist's role is to assist the client in finding and practicing effective strategies to address the identified goals and to alleviate symptoms of the disorder. Instead, CBT is a "problem-focused" and "action-oriented" form of therapy, meaning it is used to treat specific problems related to a diagnosed mental disorder. It is different from historical approaches to psychotherapy, such as the psychoanalytic approach where the therapist looks for the unconscious meaning behind the behaviors, and then formulates a diagnosis. ĬBT is a common form of talk therapy based on the combination of the basic principles from behavioral and cognitive psychology. CBT includes a number of cognitive or behavioral psychotherapies that treat defined psychopathologies using evidence-based techniques and strategies. Though it was originally designed to treat depression, its uses have been expanded to include the treatment of many mental health conditions, including anxiety, substance use disorders, marital problems, and eating disorders. CBT focuses on challenging and changing cognitive distortions (such as thoughts, beliefs, and attitudes) and their associated behaviors to improve emotional regulation and develop personal coping strategies that target solving current problems. This study reviews recent advances in UQ methods used in deep learning, investigates the application of these methods in reinforcement learning, and highlights fundamental research challenges and directions associated with UQ.Cognitive behavioral therapy ( CBT) is a psycho-social intervention that aims to reduce symptoms of various mental health conditions, primarily depression and anxiety disorders. In this regard, researchers have proposed different UQ methods and examined their performance in a variety of applications such as computer vision (e.g., self-driving cars and object detection), image processing (e.g., image restoration), medical image analysis (e.g., medical image classification and segmentation), natural language processing (e.g., text classification, social media texts and recidivism risk-scoring), bioinformatics, etc. Bayesian approximation and ensemble learning techniques are two widely-used types of uncertainty quantification (UQ) methods.

They have been applied to solve a variety of real-world problems in science and engineering. Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of uncertainties during both optimization and decision making processes.
