MODELING CUMULATIVE CASES OF COVID-19 IN YAZD CITY USING VARIOUS TIME SERIES TECHNIQUES AND MACHINE LEARNING AND COMPARING THEIR EFFICIENCY

Modeling cumulative cases of Covid-19 in Yazd city using various time series techniques and machine learning and comparing their efficiency

Coronavirus disease 2019 or Covid-19, which is also called acute respiratory disease NCAV-2019 or commonly called corona, is a respiratory disease caused by acute respiratory syndrome coronavirus-2.Forecasting the number of new cases and deaths during todays can be a useful step in predicting the costs and facilities needed in the future.This study

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A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography

Abstract Background Computed tomographic pulmonary angiography (CTPA) is the diagnostic standard for confirming pulmonary embolism (PE).Since PE is a life-threatening condition, early diagnosis and treatment are critical to avoid PE-associated morbidity and mortality.However, PE remains subject to misdiagnosis.Methods We retrospectively identified

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