Results 11 to 20 of about 46,124 (173)
Antimicrobial Resistance and Infection Control, 2022 Background The prevalence of carbapenem-resistant Klebsiella pneumoniae bloodstream infection (CRKP-BSI) is increasing worldwide. CRKP-BSI is associated with high rates of morbidity and mortality due to limited antibiotic choices.
Jie Chen +12 more
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Translation, 2023 The Coronavirus disease 2019 (COVID-19) re-shaped patient care in the United States beginning in March 2020. While fear of contracting the virus was prominent within the general population, hospitals also prioritized surges of COVID-19 patients by ...
Holly Heck +8 more
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The modern view on the epiglottitis treatment
Медицина неотложных состояний, 2023 Primary health care is defined as “primary contact, continuous, comprehensive, and coordinated care provided to the population without differentiation by gender, disease, or organ system”.
O.Ye. Kononov, M.A. Trishchynska
doaj +1 more source
Children's Infectious Disease in Moscow: Problems and Solutions
Детские инфекции (Москва), 2016 Based on statistical data, a comparative analysis of infectious morbidity and mortality in Moscow in 2015 and 2014 revealed a whole, the decline in these indicators.
L. N. Mazankova +6 more
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Is Blockchain for Internet of Medical Things a Panacea for COVID-19 Pandemic? [PDF]
Pervasive and Mobile Computing, 2021, 2022 The outbreak of the COVID-19 pandemic has deeply influenced the lifestyle of the general public and the healthcare system of the society. As a promising approach to address the emerging challenges caused by the epidemic of infectious diseases like COVID-19, Internet of Medical Things (IoMT) deployed in hospitals, clinics, and healthcare centers can ...
arxiv +1 more source
Class-Incremental Continual Learning for General Purpose Healthcare Models [PDF]
arXiv, 2023 Healthcare clinics regularly encounter dynamic data that changes due to variations in patient populations, treatment policies, medical devices, and emerging disease patterns. Deep learning models can suffer from catastrophic forgetting when fine-tuned in such scenarios, causing poor performance on previously learned tasks.
arxiv
Q fever outbreak in the terraced vineyards of Lavaux, Switzerland
New Microbes and New Infections, EarlyView., 2014 Abstract Coxiella burnetii infection (Q fever) is a widespread zoonosis with low endemicity in Switzerland, therefore no mandatory public report was required. A cluster of initially ten human cases of acute Q fever infections characterized by prolonged fever, asthenia and mild hepatitis occurred in 2012 in the terraced vineyard of Lavaux ...
C. Bellini +9 more
wiley +1 more source
Frontiers in Veterinary Science, 2018 The objective of this study is to describe the clinical features and computed tomography (CT) findings of dogs with retrobulbar disease. There are two facets to this study: a retrospective case series in which findings of dogs with primary vs.
Jenna N. Winer +7 more
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Deep Transfer Learning for Infectious Disease Case Detection Using Electronic Medical Records [PDF]
arXiv, 2021 During an infectious disease pandemic, it is critical to share electronic medical records or models (learned from these records) across regions. Applying one region's data/model to another region often have distribution shift issues that violate the assumptions of traditional machine learning techniques. Transfer learning can be a solution.
arxiv
Ontology Based Information Extraction for Disease Intelligence [PDF]
International Journal of Research in Computer Science, 2 (6): pp.
7-19, November 2012. doi:10.7815/ijorcs.26.2012.051, 2012 Disease Intelligence (DI) is based on the acquisition and aggregation of fragmented knowledge of diseases at multiple sources all over the world to provide valuable information to doctors, researchers and information seeking community. Some diseases have their own characteristics changed rapidly at different places of the world and are reported on ...
arxiv +1 more source