It is well-known that cardiovascular disease is one of the major causes of death worldwide
nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by …

The pharmacokinetic variability of lamotrigine (LTG) plays a significant role in its dosing
requirements. Our goal here was to use noninvasive clinical parameters to predict the dose …

Ventricular coordinates are widely used as a versatile tool for various applications that
benefit from a description of local position within the heart. However, the practical usefulness …

Background Machine learning models may help localize the site of origin of ventricular
tachycardia (VT) using 12-lead electrocardiograms. However, population-based models …

Background: Focal ventricular tachycardia (VT) is a life-threating arrhythmia, responsible for
high morbidity rates and sudden cardiac death (SCD). Radiofrequency ablation is the only …

One of the essential diagnostic tools of cardiac arrhythmia is activation mapping.
Noninvasive current mapping procedures include electrocardiographic imaging. It allows …

Objective: The localization of origins of premature ventricular contraction (PVC) is the key
factor for the success of ablation of ventricular arrhythmias. Existing methods rely heavily on …

Background and Purpose: Vitamin D is a predictor of poor outcome for cardiovascular
disease. We evaluated whether serum 25-hydroxyvitamin D level was associated with poor …

Kernel support vector machine algorithm and K-means clustering algorithm are used to
determine the expected mortality rate for hemodialysis patients. The national nephrology …

Objective To facilitate shared decision-making for patients with knee osteoarthritis (OA), we
aimed at building clinically applicable models to predict the individual change in pain …