Author:
Jahangir Alam Majumder A.K.M.,B. Veilleux Charles
Abstract
The need for a transformation in providing healthcare has been recognized by organizations and captured in reports. Research into Smart Health using Artificial Intelligence (AI) could help identify the mental health of individuals by analyzing physiological data. The complexity of emotions can make it challenging for an individual to recognize they are coping with mental illness. AI could be used as an objective method in recognizing mental health crisis. This is where smart emotion could help as a Human-in-the-loop system that can reduce the time it takes for an individual to get treatment by identifying mental illness. Early treatment of mental health crises can lead to an overall reduction in damage caused by it. Further, COVID-19 has overwhelmed many healthcare systems, leading malicious actors to target them, highlighting many Cybersecurity issues. AI could aid in addressing Cybersecurity concerns to create a robust and secure Human-in-the-Loop system for mental health problems.
Reference35 articles.
1. Healthcare Cybersecurity- the impact of AI, IoT-related threats and recommended approaches” by Richard Staynings, Chief Seurity Strategist, Cylera. September 18, 2019. https://www.healthcareitnews.com/news/asia-pacific/healthcare-cybersecurity-impact-ai-iot-related-threats-and-recommended-approaches
2. McGee, Timothy Matthew, “Evaluating The Cyber Security In The Internet Of Things: Smart Home Vulnerabilities” (2016). West Point ETD. 6. https://digitalcommons.usmalibrary.org/faculty_etd/6
3. Jacob Rodrigues M, Postolache O, Cercas F. Physiological and Behavioral Monitoring Systems for Smart Healthcare Environments: A Review. Sensors (Basel). 2020 April 12; 20(8):2186. Doi:10.3390/s20082186. PMID: 32290639; PMCID: PMC7218909
4. Gope P., and Hwang T., “BSN-Care: A Secure IoTBased Modern Healthcare System Using Body Sensor Network,” IEEE Sensors Journal, vol. 16, no. 5, pp. 1368–1376, 2016
5. Zhu N., Diethe T., Camplani M., Tao L., Burrows A., Twomey N., Kaleshi D., Mirmehdi M., Flach P., and Craddock I., “Bridging e-Health and the Internet of Things: The SPHERE Project,” IEEE Intelligent Systems, vol. 30, no. 4, pp. 39–46, 2015