Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
Blood pressure is a basic physiological parameter in the cardiovascular circulatory system. Long-ter...
OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and pr...
AIM: To evaluate the association between high triglyceride/HDL-cholesterol (TG/HDL-C) ratio and insu...
OBJECTIVE: To clarify the underlying mechanism of turmeric, which is traditionally used as a medicin...
Several studies have reported a conflicting association between vitamin D deficiency, vitamin D rece...
Samryeongbaekchul-san (SBS) is a traditional herbal formula, which is used for the treatment of dysp...
Elevated levels of FGF23 in individuals with chronic kidney disease (CKD) are associated with advers...
Inflammation, oxidative stress, myocardial injury biomarkers and clinical parameters (longer AF dura...
Oxidative stress, inflammation status, endothelial dysfunction, and imbalanced lipid metabolism play...
In view of high mortality associated with coronary artery disease (CAD), development of an early pre...
PURPOSE OF REVIEW: Evidence that artificial intelligence (AI) is useful for predicting risk factors ...
BACKGROUND: Obesity is associated with low-grade inflammation that may be related to vascular diseas...
This paper demonstrates the ability of mach- ine learning approaches to identify a few genes among t...
Implications of plasminogen activator inhibitor-1 (PAI-1) in colonic polyps remain elusive. A prospe...
Statistical methods are usually applied in examining diet-disease associations, whereas factor analy...
We analyzed the factors associated with dementia in the elderly attended at a memory outpatient clin...
Hypertension is a becoming a major threat to the world. Angiotensin converting enzyme (ACE) is a key...
This study evaluates and compares the performance of different machine learning techniques on predic...
Healthcare quality research is a fundamental task that involves assessing treatment patterns and mea...
Medication selection for Type 2 Diabetes (T2D) is a challenging medical decision-making problem invo...
Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screen...