Managing Mental Health Using Data Analytics
Abstract: Mental health refers to a person's emotional, psychological, and social well - being and significantly affects how individuals think, feel, and act. It has a great effect on how they handle stress, relate to others, and make choices [2]. Consequently, mental health disorders represent a significant global health challenge, with an increasing need for effective, personalized interventions. The paper explores the role of data analytics in transforming mental health management through improved diagnosis, treatment, and prevention strategies. By harnessing the power of data - driven technologies, healthcare providers can move beyond traditional clinical assessments to integrate diverse data sources, such as electronic health records (EHRs), wearable devices, social media, and patient - reported outcomes, into comprehensive mental health care strategies. By leveraging data analytics, the mental health sector can offer more targeted, proactive, and scalable care, leading to better patient outcomes and more efficient healthcare systems.
Keywords: Mental Health, Emotional Health, Stress, COVID - 19, Data Analytics, Healthcare, Data Profiling
How to Cite?: Mandar Nayak, "Managing Mental Health Using Data Analytics", Volume 13 Issue 10, October 2024, International Journal of Science and Research (IJSR), Pages: 1009-1012, https://www.ijsr.net/getabstract.php?paperid=SR241013021121, DOI: https://dx.doi.org/10.21275/SR241013021121