JAVA Cloud Computing - Diabetes Monitoring System and Health-Medical Service - ClickMyProject

Diabetes is a common chronic illness or absence of sugar in the blood. The early detection of this disease decreases the serious risk factor. Nowadays, Machine Learning based cloud environment acts as a vital role in disease detection. The people who belong to the rural areas are not getting the proper health care treatments. So, this research work proposed an automated eHealth cloud system for detecting diabetes in the earlier stage to decrease the mortality rate and provides health treatment facilities to rural peoples. Leveraging the Pima Indian Diabetes Database as the primary dataset, this system employs advanced data mining techniques to provide accurate and reliable predictions. The intended users of this system are individuals seeking to assess their susceptibility to the disease, who will input their health information for analysis. The system operates by applying sophisticated data mining algorithms to the training datasets, enabling it to discern patterns and relationships within the data . By using the ML algorithm the system is, to classify the diabetic and non-diabetic and results shows that the accuracy, precision, recall and f1-score.

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