Abstract Background Spontaneous splenic rupture considered a relatively rare but life threatening.The three commonest causes of spontaneous splenic rupture are malignant hematological diseases, Scimitar viral infections and local inflammatory and neoplastic disorders.We describe a unique and unusual case of inflammatory myofibroblastic tumor of the
Abstract Early diagnosis and Heart Rate Power Wire access to resources, support and therapy are critical for improving long-term outcomes for children with autism spectrum disorder (ASD).ASD is typically detected using a case-finding approach based on symptoms and family history, resulting in many delayed or missed diagnoses.While population-based
Nowadays, the high-dimensionality of data causes a variety of problems in machine learning.It is necessary to reduce the feature number by selecting only the most relevant of them.Different approaches called Feature Selection are used for this task.In this paper, we propose a Feature Selection method that uses Swarm Intelligence techniques.Swarm In
Coronavirus Disease-19 (COVID-19) pandemic is caused by SARS-CoV-2 that has infected more than 600 million people and killed more than 6 million people worldwide.This infection affects mainly certain groups of people that have high susceptibility to present severe COVID-19 due to comorbidities.Moreover, the long-COVID-19 comprises a series of sympt