Abstract Background and Objective The global population has been heavily impacted by the
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …

Performing a coronary disease diagnosis remotely is challenging now‐a‐days. COVID‐19 is
a worldwide pandemic, and methods for detecting COVID‐19 are hampered by insufficient …

This paper presents a comprehensive three‐step approach (CNN‐JSO‐LSTM) for predictive
modeling using a pandemic such as COVID‐19 as a test case. Initially, a Convolutional …

Objectives The study aims to investigate the potential of convolutional neural network (CNN)
based on spot image of T-SPOT assay for distinguishing active tuberculosis (ATB) from …

The emergence of COVID-19, a highly contagious virus capable of infecting both the upper
and lower respiratory tracts, has led to one of the deadliest pandemics in modern history …

Computer aided diagnosis (CADx) become one the most famous method in diagnostic
medical field due to the high reliability and efficiency. Recently, the coronavirus disease …

COVID-19 has crippled the lives of millions in the world and is continuously doing so without
any sight of relief. Even after the roll out of effective vaccines against COVID-19 and more …

Osteoporosis can be defined as a degenerative disease with reduced bone mass and
changes in bone architecture that can lead to bone fragility and the risk of fractures. This …

Abstract Machine learning has catalyzed significant strides in improving the quality of
predictions regarding patient health. However, significant specific expertise is still required …

Since the outbreak of COVID-19, several human life has been affected in many aspects and
witness huge death cases. Ultimately, the World Health Organization has declared COVID …