Data Analytics in Mental Healthcare

This article examines the integration of data analytics into mental healthcare, focusing on how predictive models and big data approaches can enhance diagnostic accuracy, personalise treatment, and improve patient monitoring. The paper outlines the challenges of data privacy and heterogeneity in mental health records. It highlights the benefits of real-time analysis and automated screening in delivering timely interventions. By advancing data capabilities, the healthcare system can better respond to individual needs and population-level mental health trends.