Medical Humanities

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Machine Learning for Diabetes Management

Ivy Yeh Hui-Yuan

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Diabetes refers to a group of metabolic diseases described by hyperglycemia resulting from irregularities in insulin function. The chronic hyperglycemia of diabetes is related to long-term damage, dysfunction, and failure of multiple organs. Diabetes affects more than 200 million people, and it will continue to increase in the future. To prevent, cure and ameliorate conditions of diabetics, creating a precise model to predict diabetes is essential. Given the development of big data sets, studies have been conducted to apply AI/data mining in diabetes prediction. However, in these approaches, researchers attempted to improve prediction by using datasets or advanced algorithms predicated upon a high niche group of people or clinician information without lifestyle information. Lifestyle information plays important roles in the prediction of diabetes. Therefore, in our research, we wish to incorporate lifestyle information in our dataset. We aim to build a powerful model with complete information for diabetes prediction.