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In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case.
An open-source software platform for managing diabetes using a closed-loop insulin delivery system. The platform uses machine learning algorithms and continuous glucose monitoring to automatically adjust insulin dosing, improving glycemic control and reducing the risk of hypoglycemia.
In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case.
Learning with sklearn diabetes and iris flower dataset, single and multiple linear regression, classification with multi-layer perceptron, kneighbors and support vector machines.