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Hypoglycemia is an unpleasant phenomenon caused by low blood glucose. Thedisease can lead a person to death or a high level of body damage. To avoidsignificant damage, patients need sugar. The research aims at implementing anautomatic system to detect hypoglycemia and perform automatic sugar injectionsto save a life. Receiving the benefits of the internet of things (IoT), thesensor data was transferred using the hypertext transfer protocol (HTTP)protocol. To ensure the safety of health-related data, blockchain technologywas utilized. The glucose sensor and smartwatch data were processed via Fog andsent to the cloud. A Random Forest algorithm was proposed and utilized todecide hypoglycemic events. When the hypoglycemic event was detected, thesystem sent a notification to the mobile application and auto-injection deviceto push the condensed sugar into the victims body. XGBoost, k-nearest neighbors(KNN), support vector machine (SVM), and decision tree were implemented tocompare the proposed models performance. The random forest performed 0.942testing accuracy, better than other models in detecting hypoglycemic events.The systems performance was measured in several conditions, and satisfactoryresults were achieved. The system can benefit hypoglycemia patients to survivethis disease.

Blockchain associated machine learning and IoT based hypoglycemia detection system with auto-injection feature