IBM Auto AI Bot: Diabetes Mellitus Prediction Using Machine Learning Algorithms

Chronic diseases such as diabetes can have a devastating effect on a person's overall well-being. Diabetes is characterised by abnormally high blood glucose levels, which are the result of either impaired insulin secretion or impaired physiologic effects, or both. Many tissues, including the eyes, kidneys, heart, blood vessels, and nerves, can be permanently damaged or dysfunctional due to diabetes. Type 1 diabetes (T1D) and type 2 diabetes are the two types of diabetes (T2D). Diabetics with type 1 diabetes tend to be younger people, with the majority of them being under the age of 30. Increased thirst and frequent urination are the most common symptoms, as are elevated blood glucose levels. Oral drugs alone are ineffective in treating this kind of diabetes, hence insulin therapy is essential. Middle-aged and older adults are more likely to develop type-2 diabetes, which is frequently linked to obesity, hypertension, dyslipidaemia, arteriosclerosis, and other conditions. Implementing a machine learning model that can quickly uncover the principles for predicting diabetes mellitus in individuals depending on their health status is discussed in this research. There must be an IBM cloud deployment of the model before it can be utilised as an API in web app development. The User Interface will display the model's prediction.