Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …

It is of great significance to achieve the prediction of building energy consumption. However,
machine learning, as a promising technique for many practical applications, was rarely …

This paper proposes an e-diagnosis system based on machine learning (ML) algorithms to
be implemented on the Internet of Medical Things (IoMT) environment, particularly for …

Disease diagnosis is a critical task which needs to be done with extreme precision. In recent
times, medical data mining is gaining popularity in complex healthcare problems based …

In recent years, the prevalence of chronic diseases such as type 2 diabetes mellitus (T2DM)
has increased, bringing a heavy burden to healthcare systems. While regular monitoring of …

Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …

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 …

Background Diabetic mellitus (DM) and cardiovascular diseases (CVD) cause significant
healthcare burden globally and often co-exists. Current approaches often fail to identify …

Diabetes, a metabolic disease in which the blood glucose level rises over time, is one of the
most common chronic diseases at present. It is critical to accurately predict and classify …

Infectious diseases usually have the characteristics of rapid spread with a large impact
range. Once they break out, they will cause a large area of infection, which creates …