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A new report from Universiti Malaya in Kuala Lumpur, Malaysia, discusses the importance of data-driven architectures in the field of mental health care. The researchers aim to create a flexible mental health care architecture that utilizes data-driven methodologies and ensemble machine learning models to improve outcomes and accessibility for individuals with mental health conditions. The study conducted a systematic literature review and identified six fundamental paradigms for designing the architecture. The researchers developed a prototype architecture for predicting pandemic anxiety to further assess the practical application of the architecture. [Extracted from the article]