The major challenge in managing blood products lies in the uncertainty of blood demand
and supply, with a trade-off between shortage and wastage, especially in most developing …

Pediatric pneumonia has drawn immense awareness due to the high mortality rates over
recent years. The acute respiratory infection caused by bacteria, viruses, or fungi infects the …

Background Electrocardiogram (ECG) signal classification plays a critical role in the
automatic diagnosis of heart abnormalities. While most ECG signal patterns cannot be …

In the field of arrhythmia classification, classification accuracy has always been a research
hotspot. However, the noises of electrocardiogram (ECG) signals, the class imbalance of …

The rapid development of financial technology not only provides a lot of convenience to
people's production and life, but also brings a lot of risks to financial security. To prevent …

Parkinson's Disease (PD) is a progressive brain disorder cased by dopmainergic neuronal
loss and mainly affects the Substantia Nigra located in the mid brain region. The increasing …

Abstract Machine learning technologies have been applied extensively in the last decade to
automatically detect and analyze various forms of arrhythmia from electrocardiogram (ECG) …

Abstract Machine learning models are being increasingly proposed for the automated
classification of Parkinson's disease from brain imaging data such as magnetic resonance …

Diagnosis is the key step forward to cure a disease. Deep learning is becoming popular as a
tool for usage in medical diagnosis. The existing literature using deep learning for the …

Abstract Background and Objective Deep learning models (DLMs) have been successfully
applied in biomedicine primarily using supervised learning with large, annotated databases …