Artificial intelligence (AI) applications based on deep learning for diagnosing type-II diabetes
are sometimes difficult to understand and communicate even as patients are eager to …

Abstract Machine learning (ML) has achieved substantial success in performing healthcare
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …

Since the outbreak of COVID-19, efforts have been made towards semi-quantitative analysis
of lung ultrasound (LUS) data to assess the patient's condition. Several methods have been …

Abstract Decision Trees (DTs) are a class of supervised learning models that are widely
used for both classification and regression applications. They are well-known for their …

Lung ultrasound (LUS) is an important imaging modality to assess the state of the lung
surface. However, current LUS approaches are based on subjective interpretation of …

With the 2019 coronavirus disease (COVID-19) pandemic, there is an increasing demand for
remote monitoring technologies to reduce patient and provider exposure. One field that has …

COVID-19 pneumonia severity assessment is of great clinical importance, and lung
ultrasound (LUS) plays a crucial role in aiding the severity assessment of COVID-19 …

Pneumonia is the leading cause of death among children around the world. According to
WHO, a total of 740,180 lives under the age of five were lost due to pneumonia in 2019 …

Nowadays, a large amount of structured and unstructured data is being produced in various
fields, creating tremendous opportunities to implement Machine Learning (ML) algorithms …

There are several main patterns in lung ultrasound (LUS) images, including A-lines, B-lines,
consolidation and pleural effusion. LUS images of healthy lungs typically only exhibit A …