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Use of Machine Learning and Artificial Intelligence in Diabetes
Abstract
Diabetes has become a common and endemic health problem worldwide. In the face of such a health problem, healthcare services seek help from technological developments to combat this disease. As in every field, Artificial Intelligence applications in healthcare are being discussed more and more every day. Among the most promising technological frontiers in healthcare is Machine Learning, a subset of Artificial Intelligence that can analyze vast amounts of data, identify patterns, and predict outcomes. Machine Learning has the potential to revolutionize diabetes management by providing valuable insights into patient health, informing treatment decisions, and predicting a person's risk of developing the disease in the future. Within the scope of this section, Artificial Intelligence and Machine Learning methods and their results used in research on early diagnosis, diagnosis and prediction of diabetes have been examined within the scope of literature review.
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