Integrating artificial intelligence (AI) into the healthcare sector holds immense potential for
transforming the industry, promising notable improvements in diagnostic precision, treatment …

A comprehensive architecture for an intelligent diabetes monitoring system, covering various
components and their technologies is presented. Core aspects are systematically outlined …

Random Forest is a supervised learning algorithm developed from decision trees with the
application of boostrap aggregating (bagging). This method grows trees from decision trees …

Diabetes, a multifaceted health condition, presents significant challenges in terms of early
diagnosis. This has sparked an interest in investigating the efficacy of two-combination …

Purpose To identify the independent risk variables that contribute to the emergence of
microalbuminuria (MAU) in type 2 diabetes mellitus (T2DM), to develop two different …

Diabetes is a chronic disease that influences how the human body turns food into energy
and affects a significant portion of the global population. Diabetes prediction plays a major …

In the modern era, the number of diseases is increasing and it is very crucial to diagnose
them. One among them is the hepatitis virus in which the proper identification of symptoms is …

身體活動的強度, 模式以及其對人體健康的影響已經被廣泛的研究, 部分現有研究基於受試者
自述的身體活動, 也有些研究會利用加速度計的資料(accelerometry data) …

Neural networks are widely used in the literature in a variety of fields and for a large number
of applications. A major challenge in their use is the need to identify and process …

An unnecessarily increased blood glucose level is a symptom of the metabolic disorder
diabetes mellitus (DM). Early diabetes detection is reduce the risk factor of kidney disease …