Exploring Data Science Applications in Mental Health Care
Abstrak
Data science is playing a transformative role in mental health care by enabling early diagnosis, personalized treatment plans, and real-time monitoring of patients. By leveraging big data analytics, artificial intelligence (AI), and machine learning (ML), mental health professionals can analyze patient behaviors, detect patterns, and predict risks. This paper explores the applications of data science in mental health care, covering key areas such as AI-powered mental health chatbots, predictive analytics for early diagnosis, and digital biomarkers for psychiatric disorders. Additionally, challenges such as data privacy concerns, ethical considerations, and model biases are discussed, along with emerging trends in AI-driven mental health interventions
Penulis (1)
Emily Carter
Akses Cepat
- Tahun Terbit
- 2025
- Bahasa
- en
- Sumber Database
- CrossRef
- DOI
- 10.71465/ajdsa3506
- Akses
- Open Access ✓