Depression is a leading cause of disability worldwide, yet only one third of patients with depression receive care. This is because the traditional in-person format of mental health care delivery can be inaccessible, inefficient, and expensive. Electronic cognitive behavioural therapy (e-CBT) has been shown to be an effective solution to expand care access, efficiency, and affordability. Combining depression-based e-CBT with artificial intelligence, this study aims to develop an effective decision-making model that matches an individual’s needs with the right amount of care.

Among all chronic diseases, mental health issues have the highest burden on health care systems. However, unlike other chronic diseases, like Diabetes or hypertension, no monitoring procedures exist to monitor patients’ mental health status to prevent relapse and crisis situations. It is therefore necessary to develop cheap, convenient and accessible monitoring systems that could be used outside clinical setting. Most mental health diseases demonstrate a range of physical and behavioral symptoms (e.g.

Among all chronic diseases, mental health issues have the highest burden on health care systems. However, unlike other chronic diseases, like Diabetes or hypertension, no monitoring procedures exist to monitor patients’ mental health status to prevent relapse and crisis situations. It is therefore necessary to develop cheap, convenient and accessible monitoring systems that could be used outside clinical setting. Most mental health diseases demonstrate a range of physical and behavioral symptoms (e.g.