Severe community-acquired pneumonia
European Respiratory Review, 2022 Severe community-acquired pneumonia is the most life-threatening form of community-acquired pneumonia, characterised by intensive care unit admission and high morbidity and mortality.
Michael S. Niederman, Antoni Torres
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Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia [PDF]
arXiv, 2020 The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 2020. Detecting COVID-19 at early stage is essential to deliver proper healthcare to the patients and also to protect the uninfected population.
Xi Ouyang +17 more
arxiv +3 more sources
Antimicrobial Treatment of Community Acquired Pneumonia in Adults: A Conference Report [PDF]
Canadian Journal of Infectious Diseases, 1994 The Canadian Community Acquired Pneumonia Consensus Conference Group
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ERS/ESICM/ESCMID/ALAT guidelines for the management of severe community-acquired pneumonia
European Respiratory Journal, 2023 Background Severe community-acquired pneumonia (sCAP) is associated with high morbidity and mortality, and while European and non-European guidelines are available for community-acquired pneumonia, there are no specific guidelines for sCAP. Materials and
I. Martín-Loeches +21 more
semanticscholar +2 more sources
A model for COVID-19 and bacterial pneumonia coinfection with community- and hospital-acquired infections [PDF]
Mathematical Modelling and Numerical Simulation With Applications,
2(4), 197-210, 2022, 2022 We propose a new mathematical model to study the coinfection dynamics of COVID-19 and bacterial pneumonia. Our model includes two infection ways for pneumonia, corresponding to community-acquired and hospital-acquired infections. We show that the existence and local stability of equilibria depend on three different parameters, which are interpreted as ...
arxiv +1 more source
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19 [PDF]
Informatics in Medicine Unlocked, 37, 2023, 101156, 2023 Patients with the COVID-19 infection may have pneumonia-like symptoms as well as respiratory problems which may harm the lungs. From medical images, coronavirus illness may be accurately identified and predicted using a variety of machine learning methods.
arxiv +1 more source
Community-acquired pneumonia [PDF]
Opšta Medicina, 2018 Introduction: Community-acquired pneumonia (CAP) today, as well as a few decades ago, is a current medical problem considering the incidence and the mortality rate of the population, despite the availability of new and powerful antimicrobials and ...
Milutinović-Matić Snežana R. +3 more
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Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
Radiology, 2020 Background Coronavirus disease has widely spread all over the world since the beginning of 2020. It is desirable to develop automatic and accurate detection of COVID-19 using chest CT.
Lin Li +17 more
semanticscholar +1 more source
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms [PDF]
International Journal of Medical Informatics, 104284. 23 Sep. 2020, 2020 As the rapid spread of coronavirus disease (COVID-19) worldwide, chest X-ray radiography has also been used to detect COVID-19 infected pneumonia and assess its severity or monitor its prognosis in the hospitals due to its low cost, low radiation dose, and wide accessibility.
arxiv +1 more source
Community acquired pneumonia: CAP [PDF]
Halo 194, 2022 Introduction: Pneumonia is one of the most common diseases in modern medicine. It is an inflammation of the lung parenchyma caused by various agents or noxae.
Janković Jelena +2 more
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