Trained machine learning models are increasingly used to perform high-impact tasks in
areas such as law enforcement, medicine, education, and employment. In order to clarify the …

Importance Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, and its
early detection could lead to significant improvements in outcomes through the appropriate …

Background Cardiovascular disease (CVD) is the leading cause of mortality worldwide.
Accurately identifying subjects at high-risk of CVD may improve CVD outcomes. We sought …

Parkinson's disease (PD) has become widespread these days all over the world. PD affects
the nervous system of the human and also affects a lot of human body parts that are …

In recent years, numerous applications for artificial intelligence (AI) in cardiology have been
found, due in part to large digitized data sets and the evolution of high-performance …

Abstract Machine learning (ML) has been recognized by researchers in the architecture,
engineering, and construction (AEC) industry but undermined in practice by (i) complex …

In order to create machine learning, we need to build a model. The model is created from a
process called training. The goal of training is to develop an accurate model that answers …

Datasets that have skewed class distributions pose a difficulty to learning algorithms in
pattern classification. A number of different methods to deal with this problem have been …

Background Multi-view data representation learning explores the relationship between the
views and provides rich complementary information that can improve computer-aided …

Introduction: Convolutional Neural Network (CNN) systems in healthcare are influenced by
unbalanced datasets and varying sizes. This article delves into the impact of dataset size …