Hepatitis is a disease originating from a viral bacterium that can be avoided by the earlier
identification of the disease and also with the proper classification. The proposed …

Diabetes is less likely to cause serious complications if it is diagnosed and treated early. The
goal of the proposed study is to create a machine learning pipeline that produces the …

Diabetes is a chronic disease that influences how the human body turns food into energy
and affects a significant portion of the global population. Diabetes prediction plays a major …

Diabetes has become a widespread non-communicable disease in modern times, with a
prevalence rate of over 60%. The consumption of foods high in carbohydrates, fats, oils …

Neural networks are widely used in the literature in a variety of fields and for a large number
of applications. A major challenge in their use is the need to identify and process …

Random Forest adalah sebuah algoritma supervised learning yang dikembangkan dari
pohon keputusan (decision tree) dengan penerapan boostrap aggregating (bagging) …

Artificial intelligence uses advanced algorithms such as deep learning and machine
learning methods to help doctors make more accurate diagnoses, identify potential health …

The classification of types of diabetic patients is difficult because there are not only variant
features, but many features needed to diagnose the symptom of diabetes. This research …