Predictive analytics for healthcare using machine learning is a challenged task to help
doctors decide the exact treatments for saving lives. In this paper, we present machine …

Abstract Background M2M (Machine-to-Machine) communications represent one of the main
pillars of the new paradigm of the Internet of Things (IoT), and is making possible new …

Chronic kidney disease (CKD) is widespread and related with enhanced risk of
cardiovascular disease and end-stage renal disease, which are possibly escapable through …

Objectives Existing approaches to derive decision models from plaintext clinical data
frequently depend on medical dictionaries as the sources of potential features. Prior …

Chronic kidney disease (CKD), due to rising patients, the high probability of deterioration
towards end-stage renal disease and inaccurate estimates of morbidity and mortality …

chronic kidney disease refers to the condition of kidneys caused by conditions, diabetes,
glomerulonephritis or high blood pressure. These problems may happen gently for a long …

Chronic Kidney Disease (CKD) is a prevalent and progressive health condition affecting
millions of individuals worldwide. Early identification and management of CKD are critical to …

Chronic kidney disease (CKD) also called as chronic renal failure (CRF), is a medical term
that refers to decreased renal function due to damaged–at risk through low, moderate, and …

Heart failure (HF), atherosclerotic cardiovascular disease, and end-stage kidney disease are
all signs of long term kidney disease brought on by type II diabetes (CKD). However …

Chronic kidney disease diagnosis is often expensive, time demanding, and incursive, and
hence dangerous. That is why, especially in countries with limited resources, many patients …