Applications of Machine learning (ML) in health informatics have gained increasing
attention. The timely diagnosis of kidney disease and the subsequent immediate response …

Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects
approximately 10% of the world adult population. CKD is a disorder that disrupts normal …

This paper presents a neural network-based classifier to predict whether a person is at risk
of develo** chronic kidney disease (CKD). The model is trained with the demographic …

Chronic kidney disease (CKD) is one of the serious health concerns in the twenty-first
century. CKD impacts over 37 million Americans. By applying machine learning (ML) …

Biomedical imaging is considered main procedure to acquire valuable physical information
about the human body and some other biological species. It produces specialized images of …

Prediction of diseases is sensitive as any error can result in the wrong person's treatment or
not treating the right patient. Besides, some features distinguish a disease from curable to …

A mosquito borne pathogen called Dengue virus (DENV) has been emerged as one of the
most fatal threats in the recent time. Infections can be in two main forms, namely the DF …

In our competitive world, the lifestyles of human beings are very irregular. Irregularities in
eating habits, daily routines, and workloads create a lot of tension that in turn leads to many …

In the present work a Cuckoo Search (CS) trained Neural Network (NN) or NN-CS based
model has been proposed to detect Chronic Kidney Disease (CKD) which has become one …