Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
There is not enough information about tinnitus and related parameters in patients with heart failure...
Few studies have been conducted to classify and predict the influence of nutritional intake on overw...
As many as 40% to 50% of patients do not adhere to long-term medications for managing chronic condit...
Metabolic syndrome (MetS) is one of the most important risk factors for cardiovascular disease. The ...
Biological processes are inherently continuous, and the chance of phenotypic discovery is significan...
Our study investigated the feasibility and clinical relevance of brain age prediction using axial T2...
Predicting the risk of cardiovascular disease is the key to primary prevention. Machine learning has...
Obstructive sleep apnea (OSA) is a common chronic sleep disorder that disrupts breathing during slee...
BACKGROUND AND AIMS: Hypertension has become a major public health issue as the prevalence and risk ...
According to the WTO, there were 1.13 billion hypertension patients worldwide in 2015. The WTO encou...
Hypertension remains the largest modifiable cause of mortality worldwide despite the availability of...
Arterial blood pressure (ABP) is an important vital sign from which it can be extracted valuable inf...
Thoracic pain is a shared symptom among gastrointestinal diseases, muscle pain, emotional disorders,...
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that ma...
COVID-19 is a newly emerging infectious disease, which is generally susceptible to human beings and ...
To identify the most important parameters associated with cerebral white matter hyperintensities (WM...
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...