Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder
A new survey paper details advancements in machine learning and deep learning for the early detection and management of mental health disorders. It reviews applications in behavioral assessments, genetic analysis, and medical imaging for conditions like depression and schizophrenia. The paper highlights the potential for improved diagnostic accuracy and treatment outcomes while also addressing challenges in data integration and ethical considerations. AI
IMPACT Highlights potential for improved diagnostic accuracy and personalized treatment in mental healthcare.