Diabetes Mellitus Type II (T2D) is a Chronic Disease and is the most common type of Diabetes in the world, responsible for 95% of all Diabetes patients. T2D is a very complex disease and requires a large amount of self-management from the patient in order to maintain a healthy and threat-free lifestyle. Therefore, we develop in this paper a data analytics solution to assist in the self-management of T2D patients through several methods consisting of a rule-based system, anomaly detection, and threat forecasting.

Anomaly Detection, Artificial Intelligence, Chronic Diseases, Diabetes, Forecasting
2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
Department of Systems and Computer Engineering

Arab, K. (Kareem), Bouida, Z. (Zied), & Ibnkahla, M. (2019). Artificial Intelligence for Diabetes Mellitus Type II: Forecasting and Anomaly Detection. In IEEE Wireless Communications and Networking Conference, WCNC. doi:10.1109/WCNC.2019.8885802