Data Classification and predictions are one of the prime tasks in Data mining. They continue
to play a vital role in the area of computer science and data processing field. Clustering and …

This study proposes on the prediction and classification of Diabetes Mellitus using Artificial
Neural Network (ANN) and hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS). The …

With the rapid growth of chronic disease cases around the world, healthcare support
systems like recommender systems play a major role in controlling the disease, through …

In recent hybrid Data Mining techniques are gaining popularity for disease prediction. In this
paper we develop a software tool which will detect any disease at an early stage. An …

E-Healthcare services show promising solutions to reduce patients' life risk with improving
the provided services along with being cost effective. This paper presents Chronic Disease …

Diabetes mellitus is prominent diseases throughout the world. As human society has
become economically and socially isolated, the pervasiveness of diabetes is rapidly …

This study introduces a novel approach to patient interpretation and diagnosis, utilizing
Graph Neural Networks (GNNs) within a collaborative recommendation framework. Our …

The purpose of using Predictive Modeling for presumptive diagnosis of Type 2 Diabetes
Mellitus based on symptomatic analysis is the optimization of the diagnosis phase of the …

There are a number of methods that have been developed by researchers in an attempt to
predict and diagnose chronic disease conditions accurately. These methods play an …

With the ever increase in ICT in the last decade has enabled the advancement in healthcare
management systems. Recent development made it possible to remotely monitoring patients …