AIMC Topic: Influenza, Human

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Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting.

IEEE journal of biomedical and health informatics Feb 4, 2022
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...
Forecasting Reproducibility of Results Deep Learning Influenza, Human Humans Neural Networks, Computer
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Construction of Influenza Early Warning Model Based on Combinatorial Judgment Classifier: A Case Study of Seasonal Influenza in Hong Kong.

Current medical science Jan 4, 2022
OBJECTIVE: The annual influenza epidemic is a heavy burden on the health care system, and has increasingly become a major public health problem in some areas, such as Hong Kong (China). Therefore, based on a variety of machine learning methods, and c...
Models, Statistical Influenza, Human Hong Kong Epidemiological Monitoring Humans Machine Learning Epidemiological Models
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DeepFlu: a deep learning approach for forecasting symptomatic influenza A infection based on pre-exposure gene expression.

Computer methods and programs in biomedicine Oct 25, 2021
BACKGROUND AND OBJECTIVE: Not everyone gets sick after an exposure to influenza A viruses (IAV). Although KLRD1 has been identified as a potential biomarker for influenza susceptibility, it remains unclear whether forecasting symptomatic flu infectio...
Influenza A Virus, H3N2 Subtype Humans Influenza, Human Influenza A Virus, H1N1 Subtype Deep Learning Gene Expression
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A Deep Learning Approach for Predicting Antigenic Variation of Influenza A H3N2.

Computational and mathematical methods in medicine Oct 16, 2021
Modeling antigenic variation in influenza (flu) virus A H3N2 using amino acid sequences is a promising approach for improving the prediction accuracy of immune efficacy of vaccines and increasing the efficiency of vaccine screening. Antigenic drift a...
Databases, Protein Humans Amino Acid Sequence Influenza A Virus, H3N2 Subtype Neural Networks, Computer Hemagglutinin Glycoproteins, Influenza Virus Influenza, Human Deep Learning Antigenic Variation Antigens, Viral Computational Biology
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Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza.

EBioMedicine Aug 19, 2021
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...
Adult Male Adolescent Child, Preschool Humans Machine Learning Female Nasal Mucosa Pyrrolidonecarboxylic Acid Metabolome Influenza, Human Gas Chromatography-Mass Spectrometry Orthomyxoviridae Child Molecular Diagnostic Techniques Metabolomics
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The predictive skill of convolutional neural networks models for disease forecasting.

PloS one Jul 9, 2021
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...
Influenza, Human Humans Epidemiological Models Neural Networks, Computer Forecasting Deep Learning
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Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach.

PloS one May 19, 2021
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...
Disease Outbreaks Computer Systems Models, Statistical Internet Influenza, Human Public Health Surveillance Social Media Machine Learning Forecasting Electronic Health Records Epidemiological Monitoring Humans Weather Information Storage and Retrieval France
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Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease.

BMC cardiovascular disorders Mar 9, 2021
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...
Support Vector Machine Age Factors Influenza, Human Influenza Vaccines Medication Adherence Vaccination Nutrition Surveys Young Adult Adult Cross-Sectional Studies Middle Aged Risk Assessment Male Cardiovascular Diseases Female Risk Factors Humans Aged Databases, Factual Republic of Korea
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Forecasting influenza activity using machine-learned mobility map.

Nature communications Feb 9, 2021
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...
Reproducibility of Results Smartphone Models, Theoretical Humans Influenza, Human Machine Learning Australia New York City Forecasting Population Dynamics
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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 Dec 2, 2020
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...
Big Data Public Health Incidence Humans Disease Outbreaks Meteorological Concepts Time Factors Machine Learning China Computational Biology Algorithms Influenza, Human
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