AIMC Topic: Influenza, Human

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Prediction of hospital-acquired influenza using machine learning algorithms: a comparative study.

BMC infectious diseases May 2, 2024
BACKGROUND: Hospital-acquired influenza (HAI) is under-recognized despite its high morbidity and poor health outcomes. The early detection of HAI is crucial for curbing its transmission in hospital settings.
Young Adult Adult Male Aged Aged, 80 and over Logistic Models Influenza, Human Cross Infection Middle Aged ROC Curve Neural Networks, Computer Machine Learning Retrospective Studies Female Algorithms Humans
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Deep-learning assisted zwitterionic magnetic immunochromatographic assays for multiplex diagnosis of biomarkers.

Talanta Mar 7, 2024
Magnetic nanoparticle (MNP)-based immunochromatographic tests (ICTs) display long-term stability and an enhanced capability for multiplex biomarker detection, surpassing conventional gold nanoparticles (AuNPs) and fluorescence-based ICTs. In this stu...
Biomarkers Deep Learning Gold Humans Magnetic Phenomena Metal Nanoparticles Influenza, Human Immunoassay
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Novel graph-based machine-learning technique for viral infectious diseases: application to influenza and hepatitis diseases.

Annals of medicine Jan 19, 2024
BACKGROUND: Most infectious diseases are caused by viruses, fungi, bacteria and parasites. Their ability to easily infect humans and trigger large-scale epidemics makes them a public health concern. Methods for early detection of these diseases have ...
Algorithms Influenza, Human Humans Communicable Diseases Hepatitis Machine Learning
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Prediction of the number of asthma patients using environmental factors based on deep learning algorithms.

Respiratory research Dec 1, 2023
BACKGROUND: Air pollution, weather, pollen, and influenza are typical aggravating factors for asthma. Previous studies have identified risk factors using regression-based and ensemble models. However, studies that consider complex relationships and i...
Deep Learning Air Pollutants Air Pollution Algorithms Asthma Influenza, Human Humans
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Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study.

Journal of medical Internet research Oct 17, 2023
BACKGROUND: Influenza outbreaks pose a significant threat to global public health. Traditional surveillance systems and simple algorithms often struggle to predict influenza outbreaks in an accurate and timely manner. Big data and modern technology h...
Deep Learning China Search Engine Influenza, Human COVID-19 Disease Outbreaks Humans
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Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumonias.

Scientific reports Aug 17, 2023
The Coronavirus Disease 2019 (COVID-19) is transitioning into the endemic phase. Nonetheless, it is crucial to remain mindful that pandemics related to infectious respiratory diseases (IRDs) can emerge unpredictably. Therefore, we aimed to develop an...
Pneumonia, Viral Humans Machine Learning Deep Learning Influenza, Human COVID-19
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Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation.

Journal of medical Internet research Feb 13, 2023
BACKGROUND: In megacities, there is an urgent need to establish more sensitive forecasting and early warning methods for acute respiratory infectious diseases. Existing prediction and early warning models for influenza and other acute respiratory inf...
Humans Influenza, Human Climate Epidemics Forecasting Deep Learning
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Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study.

Journal of medical Internet research Dec 23, 2022
BACKGROUND: The global burden of influenza is substantial. It is a major disease that causes annual epidemics and occasionally, pandemics. Given that influenza primarily infects the upper respiratory system, it may be possible to diagnose influenza i...
Sensitivity and Specificity Deep Learning Influenza, Human ROC Curve Artificial Intelligence Retrospective Studies Humans
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Virus Detection and Identification in Minutes Using Single-Particle Imaging and Deep Learning.

ACS nano Dec 21, 2022
The increasing frequency and magnitude of viral outbreaks in recent decades, epitomized by the COVID-19 pandemic, has resulted in an urgent need for rapid and sensitive diagnostic methods. Here, we present a methodology for virus detection and identi...
Influenza, Human COVID-19 SARS-CoV-2 Humans Deep Learning Pandemics
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Classification of COVID-19 and Influenza Patients Using Deep Learning.

Contrast media & molecular imaging Feb 28, 2022
Coronavirus (COVID-19) is a deadly virus that initially starts with flu-like symptoms. COVID-19 emerged in China and quickly spread around the globe, resulting in the coronavirus epidemic of 2019-22. As this virus is very similar to influenza in its ...
Male Deep Learning COVID-19 Influenza, Human Tomography, X-Ray Computed Humans Female SARS-CoV-2
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