Local Diabetes Dataset To Predict The Onset of Diabetes Based On Diagnostic Measures

A comprehensive dataset comprising 22 thoroughly selected features and two target variables, anticipating an assembly of a substantial thousand samples sourced from local community of patients in Sylhet, Bangladesh. This thoroughly composed dataset will serve as an invaluable resource, catering to a range of ambitious research endeavors. Utilizing the dataset, experiments with various ML techniques can be conducted to develop an advanced intelligent system that could help local patients with the knowledge and tools to monitor their health, delving into the depths of diabetes adversity and its intricate web of complications as well as assist medical workers, augmenting their diagnostic and therapeutic capabilities. The features encapsulate diverse diabetes disease markers, that can be analyzed to uncover fine distinct patterns that might result into robust system development.