Abstract Machine learning (ML) has been increasingly used within cardiology, particularly in
the domain of cardiovascular imaging. Due to the inherent complexity and flexibility of ML …

Background Stress testing helps diagnose heart failure with preserved ejection fraction
(HFpEF), but there are no established criteria for quantifying left ventricular (LV) functional …

This work performs an in-depth study of the impact of distance functions on K-Nearest
Neighbours imputation of heterogeneous datasets. Missing data is generated at several …

Standard Electromechanical Wave Imaging isochrone generation relies on manual selection
of zero-crossing (ZC) locations on incremental strain curves for a number of pixels in the …

Missing value is a common occurrence in the real-world dataset, and many methods have
been proposed to solve it. Among those methods, KNN imputation attracts a lot of attention …

Gastrointestinal and liver diseases (GILDs) are the major causes of death and disability in
Middle East. The investigation of upper gastrointestinal (GI) symptoms of a medically limited …

K-nearest neighbors (KNN) has been extensively used as imputation algorithm to substitute
missing data with plausible values. One of the successes of KNN imputation is the ability to …

Speckle tracking echocardiography (STE) is a well-established technique to quantify
regional myocardial function. Reliability of STE-derived strain curves, however, depends …

Rising temperature is a major concern of urban livelihood and has become more severe
with rapid urbanization. The complexity of built-up urban fabrics and the unevenly distributed …

Mr. Shrestha has nothing to disclose Dr. Arnaout has nothing to disclose Dr. Bernard has
nothing to disclose Dr. Berthon has nothing to disclose Dr. D'hooge has nothing to disclose …