AI-POWERED BEHAVIORAL ANALYTICS IN MENTAL HEALTH: DEVELOPING PREDICTIVE MODELS FOR THERAPY OUTCOMES

Paper ID: EIJTEM_2024_11_4_141-149

Author's Name: Shweta Yadav, Swati Yadav

Volume: 11

Issue: 4

Year: 2024

Page No: 141-149

Abstract:

By facilitating more individualized, scalable, and data-driven therapies, the incorporation of artificial intelligence (AI) into mental health care is changing therapeutic paradigms. This study investigates how behavioral analytics and predictive modeling driven by AI can improve mental health condition diagnosis, therapy personalization, and real-time monitoring. AI systems examine a variety of patient data, like as voice, biometric signals, and digital activities, using sophisticated machine learning algorithms and natural language processing to identify subtle trends and more accurately forecast the results of therapy. Furthermore, AI-powered solutions like chatbots provide access to prompt mental health assistance, particularly in environments with limited resources. Notwithstanding these developments, there are still serious ethical issues with algorithmic prejudice, data privacy, and maintaining human empathy. The study makes the case for a well-rounded, interdisciplinary strategy that optimizes patient results while upholding ethical standards by fusing traditional therapy techniques with AI advancements. Future ramifications show how AI could support proactive, individualized mental health treatment as long as strong legal frameworks and human control are maintained.

Keywords: Artificial Intelligence, Mental Health Therapy, Behavioral Analytics, Predictive Modeling, Machine Learning, Personalized Treatment, AI Ethics, Mental Health Chatbots, Data Privacy, Algorithmic Bias

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