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An adaptive data-driven architecture for mental health care applications.

Aishwarya SundaramHema SubramaniamSiti Hafizah Ab HamidAzmawaty Mohamad Nor
Published in: PeerJ (2024)
Through the review, the authors identified six fundamental paradigms crucial for designing architecture. Leveraging these paradigms, the authors crafted an adaptive data-driven architecture, subsequently validated by professional experts. The validation resulted in a mean score exceeding four for each evaluated feature, confirming the architecture's effectiveness. To further assess the architecture's practical application, a prototype architecture for predicting pandemic anxiety was developed.
Keyphrases
  • randomized controlled trial
  • systematic review
  • sars cov
  • machine learning
  • coronavirus disease
  • deep learning
  • depressive symptoms