In this paper, we investigated and evaluated various machine learning-based approaches
for automatically detecting wheezing sounds. We conducted a comprehensive comparison …

In this research, we address the urgent need for accurate prediction of in-hospital survival
periods for patients diagnosed with pancreatic cancer (PC), a disease notorious for its late …

Retinopathy of Prematurity (ROP) is a potentially blinding eye disease that primarily occurs
in premature infants with low birth weight. It is the main cause of childhood blindness …

This paper introduces a new series of methods which combine modal decomposition
algorithms, such as singular value decomposition and high-order singular value …

Auscultation, a traditional clinical examination method using a stethoscope to quickly assess
airway abnormalities, remains valuable due to its real-time, non-invasive, and easy-to …

Imbalanced data is a problem in that the number of samples in different categories or target
value ranges varies greatly. Data imbalance imposes excellent challenges to machine …

Since the COVID-19 outbreak, a major scientific effort has been made by researchers and
companies worldwide to develop a digital diagnostic tool to screen this disease through …

Due to the data shortage problem, which is one of the major problems in the field of machine
learning, the accuracy level of many applications remains well below the expected. It …

The main goal of this paper is to develop a classification model and a technique to identify
bronchiolitis and bronchiectasis using lung sound analysis. In this paper, we develop a …

Abstract Background and Objective Respiratory Diseases are one of the leading chronic
illnesses in the world according to the reports by World Health Organization. Diagnosing …