Abstract Background and Objective Diagnosis as the initial step of medical practice, is one of
the most important parts of complicated clinical decision making which is usually …

Type 2 diabetes has recently acquired the status of an epidemic silent killer, though it is non-
communicable. There are two main reasons behind this perception of the disease. First, a …

Diabetes is a very common disease affecting individuals worldwide. Diabetes increases the
risk of long-term complications including heart disease, and kidney failure among others …

In Machine Learning (ML) community, researchers are proposing complex models for real-
life problems to achieve higher accuracy, which requires high computing and other …

Objective This paper aims to classify the Pima Indians diabetes dataset with better accuracy
and other evaluation metrics. The Deep Neural Network (DNN) framework will help to …

Parkinson's disease (PD) is a complex neurodegenerative disease. Accurate diagnosis of
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …

The trade-off between computation time and predictive accuracy is important in the design
and implementation of clinical decision support systems. Machine learning techniques with …

Diabetes mellitus (DM) is a combination of metabolic disorders characterized by elevated
blood glucose levels over a prolonged duration. Undiagnosed DM can give rise to a host of …

Here, the researchers are trying to prepare a model for identifying whether a patient is
diabetic or not. The Pima Indian Dataset has been used in this case study. There are two …

Diabetes is a chronic hyperglycemic disorder. Every year hundreds of millions of people
around the world have diabetes. The presence of irrelevant features and an imbalanced …