Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
BACKGROUND AND OBJECTIVE: The new type of Coronavirus (2019-nCov) epidemic spread rapidly, causing m...
BACKGROUND: The impending scale up of noncommunicable disease screening programs in low- and middle-...
Current diagnoses of mood disorders are not cross validated. The aim of the current paper is to expl...
In this paper, we introduce a network machine learning method to identify potential bioactive anti-C...
BACKGROUND: Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemi...
BACKGROUND: Dyslipidemia is an essential parameter in the prediction of cardiovascular disease (CVD)...
Patients with cancer often exhibit multiple co-occurring symptoms which can impact the type of treat...
BACKGROUND: The impact of pulmonary hypertension (PH) on outcomes after surgical tricuspid valve rep...
Background The growing awareness of cardiovascular toxicity from cancer therapies has led to the eme...
Accurate diagnosis of pulmonary hypertension (PH) is crucial to ensure that patients receive timely ...
This study aimed to examine whether the diagnostic accuracy of four noninvasive tests (NITs) for det...
INTRODUCTION: There is a higher prevalence of non-dipping pattern in hypertensive chronic kidney dis...
Over 60 % of people over the age of 65 will suffer from multiple diseases concomitantly but the comm...
The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates a...
Short chain fatty acids (SCFA) are the main products of indigestible carbohydrates undergoing bacter...
Similar to the worldwide proliferation of urbanization, micropollutants have been involved in aquati...
Early and precise identification of individuals with prediabetes and type 2 diabetes (T2D) at risk f...
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP) estimation ...
Background Real-world healthcare data are an important resource for epidemiologic research. However,...
As is known, cerebral stroke has become one of the main diseases endangering people's health; ischae...
BACKGROUND: Semisupervised and unsupervised anomaly detection methods have been widely used in vario...