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Influenza, Human

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How to Determine the Early Warning Threshold Value of Meteorological Factors on Influenza through Big Data Analysis and Machine Learning.

Computational and mathematical methods in medicine 33343686
Infectious diseases are a major health challenge for the worldwide population. Since their rapid spread can cause great distress to the real world, in addition to taking appropriate measures to curb the spread of infectious diseases in the event of a...
Algorithms Big Data China Computational Biology Disease Outbreaks Humans Incidence Influenza, Human Machine Learning Meteorological Concepts Public Health Time Factors
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Artificial Intelligence Applied to Gene Expression Testing (IVIGET) to Predict Trivalent Inactivated Influenza Vaccine Immunogenicity in HIV Infected Children.

Frontiers in immunology 33123133
The number of patients affected by chronic diseases with special vaccination needs is burgeoning. In this scenario, predictive markers of immunogenicity, as well as signatures of immune responses are typically missing even though it would especially ...
Artificial Intelligence Child Coinfection Computational Biology Gene Expression Profiling Hemagglutination Inhibition Tests HIV Infections Humans Immunogenicity, Vaccine Influenza A Virus, H1N1 Subtype Influenza Vaccines Influenza, Human Prognosis Reproducibility of Results Transcriptome Vaccination Vaccines, Inactivated
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Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study.

Journal of medical Internet research 33118941
BACKGROUND: Screening for influenza in primary care is challenging due to the low sensitivity of rapid antigen tests and the lack of proper screening tests.
Deep Learning Female Humans Influenza, Human Male Mobile Applications Retrospective Studies Telemedicine
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The predictive skill of convolutional neural networks models for disease forecasting.

PloS one 34242349
In this paper we investigate the utility of one-dimensional convolutional neural network (CNN) models in epidemiological forecasting. Deep learning models, in particular variants of recurrent neural networks (RNNs) have been studied for ILI (Influenz...
Deep Learning Epidemiological Models Forecasting Humans Influenza, Human Neural Networks, Computer
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Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach.

PloS one 34010293
Effective and timely disease surveillance systems have the potential to help public health officials design interventions to mitigate the effects of disease outbreaks. Currently, healthcare-based disease monitoring systems in France offer influenza a...
Computer Systems Disease Outbreaks Electronic Health Records Epidemiological Monitoring Forecasting France Humans Influenza, Human Information Storage and Retrieval Internet Machine Learning Models, Statistical Public Health Surveillance Social Media Weather
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Forecasting influenza activity using machine-learned mobility map.

Nature communications 33563980
Human mobility is a primary driver of infectious disease spread. However, existing data is limited in availability, coverage, granularity, and timeliness. Data-driven forecasts of disease dynamics are crucial for decision-making by health officials a...
Australia Forecasting Humans Influenza, Human Machine Learning Models, Theoretical New York City Population Dynamics Reproducibility of Results Smartphone
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Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease.

BMC cardiovascular disorders 33750304
BACKGROUND: Annual influenza vaccination is an important public health measure to prevent influenza infections and is strongly recommended for cardiovascular disease (CVD) patients, especially in the current coronavirus disease 2019 (COVID-19) pandem...
Adult Age Factors Aged Cardiovascular Diseases Cross-Sectional Studies Databases, Factual Female Humans Influenza Vaccines Influenza, Human Male Medication Adherence Middle Aged Nutrition Surveys Republic of Korea Risk Assessment Risk Factors Support Vector Machine Vaccination Young Adult
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The risk of racial bias while tracking influenza-related content on social media using machine learning.

Journal of the American Medical Informatics Association : JAMIA 33484133
OBJECTIVE: Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore t...
Black or African American Datasets as Topic Humans Influenza Vaccines Influenza, Human Machine Learning Neural Networks, Computer Racism Social Media Support Vector Machine
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Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza.

EBioMedicine 34419924
BACKGROUND: Respiratory virus infections are significant causes of morbidity and mortality, and may induce host metabolite alterations by infecting respiratory epithelial cells. We investigated the use of liquid chromatography quadrupole time-of-flig...
Adolescent Adult Child Child, Preschool Female Gas Chromatography-Mass Spectrometry Humans Influenza, Human Machine Learning Male Metabolome Metabolomics Molecular Diagnostic Techniques Nasal Mucosa Orthomyxoviridae Pyrrolidonecarboxylic Acid
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Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting.

IEEE journal of biomedical and health informatics 34197330
Early prediction of influenza plays an important role in minimizing the damage caused, as it provides the resources and time needed to formulate preventive measures. Compared to traditional mechanistic approach, deep/machine learning-based models hav...
Deep Learning Forecasting Humans Influenza, Human Neural Networks, Computer Reproducibility of Results
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