In the recent pandemic, accurate and rapid testing of patients remained a critical task in the
diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of …

Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …

The recent severe outbreak of the disease has been linked to the COVID-19 virus. It is
essential for healthcare professionals and individuals with the capacity to provide intensive …

Background Machine learning offers new solutions for predicting life-threatening,
unpredictable amiodarone-induced thyroid dysfunction. Traditional regression approaches …

The construction industry, and at its core the building sector, is the largest consumer of non-
renewable resources, which produces the highest amount of waste and greenhouse gas …

Simple Summary This study is about how COVID-19 affects patients with multiple myeloma
(MM), a type of cancer, and aims to provide guidance for managing their risk and treatment …

Abstract Advances in Internet of Things (IoT) and analytic‐based systems in the past decade
have found several applications in medical informatics, and have significantly facilitated …

Background and objectives Pulmonary embolism (PE) is a complex disease with high
mortality and morbidity rate, leading to increasing society burden. However, current …

Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …

The impact of the still ongoing “Coronavirus Disease 2019”(COVID-19) pandemic has been
and is still vast, affecting not only global human health and stretching healthcare facilities …