In this riveting interview, we have Dr. Marc Lanovaz, a University of Montreal professor at the forefront of integrating data science and machine learning in behavioral healthcare. We discuss the impact of cultural relevancy in behavior analysis, how machine learning can improve clinical decision-making in mental health, and a groundbreaking virtual reality application simulating the world from an autistic perspective. The discussion also delves into the utilization of machine learning in tracking and predicting behavior changes and workplace stress. Moreover, Dr. Lanovaz underlines the significance of reinforcement in behavior therapy and its potential in data-driven applications that could revolutionize behavioral science and mental health care.
Advancing Behavioral Healthcare through VR & Machine Learning: A Conversation with Dr. Marc Lanovaz
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Behavioral Health Providers’ Interview
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Did you miss out on Black Friday deals? Every click of the buy button is an endorphin pump–but STOP scrolling and looking. You probably don’t really need whatever you’re looking for, and if you’re shopping for gifts, remember that anyone who deserves a great gift from you would value and desire your attention and time…
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