AIMC Topic: Influenza, Human

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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 Oct 29, 2020
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.
Humans Deep Learning Mobile Applications Influenza, Human Telemedicine Retrospective Studies Female Male
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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 Oct 5, 2020
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 ...
Influenza A Virus, H1N1 Subtype Immunogenicity, Vaccine Vaccines, Inactivated Reproducibility of Results Gene Expression Profiling Hemagglutination Inhibition Tests Transcriptome Coinfection HIV Infections Influenza, Human Child Influenza Vaccines Humans Computational Biology Artificial Intelligence Prognosis Vaccination
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Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.

BMC medical informatics and decision making Sep 29, 2020
BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.
Humans Machine Learning Female SARS-CoV-2 Sensitivity and Specificity Male Pandemics COVID-19 Computer Simulation Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Coronavirus Infections COVID-19 Testing Datasets as Topic Influenza A virus Diagnosis, Differential Influenza, Human
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Convolutional Neural Network Based Approach to in Silico Non-Anticipating Prediction of Antigenic Distance for Influenza Virus.

Viruses Sep 12, 2020
Evaluation of the antigenic similarity degree between the strains of the influenza virus is highly important for vaccine production. The conventional method used to measure such a degree is related to performing the immunological assays of hemaggluti...
Antigens, Viral Computer Simulation Hemagglutinin Glycoproteins, Influenza Virus Amino Acid Sequence Influenza, Human Humans Influenza A Virus, H1N1 Subtype Neural Networks, Computer Orthomyxoviridae
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Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study.

Journal of medical Internet research Aug 5, 2020
BACKGROUND: Changeful seasonal influenza activity in subtropical areas such as Taiwan causes problems in epidemic preparedness. The Taiwan Centers for Disease Control has maintained real-time national influenza surveillance systems since 2004. Except...
Influenza, Human Forecasting Disease Outbreaks Taiwan Humans Machine Learning
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Optimized Forecasting Method for Weekly Influenza Confirmed Cases.

International journal of environmental research and public health May 18, 2020
Influenza epidemic is a serious threat to the entire world, which causes thousands of death every year and can be considered as a public health emergency that needs to be more addressed and investigated. Forecasting influenza incidences or confirmed ...
Forecasting China Fuzzy Logic Influenza, Human Humans Algorithms
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Predicting the short-term success of human influenza virus variants with machine learning.

Proceedings. Biological sciences Apr 8, 2020
Seasonal influenza viruses are constantly changing and produce a different set of circulating strains each season. Small genetic changes can accumulate over time and result in antigenically different viruses; this may prevent the body's immune system...
Influenza Vaccines Phylogeny Evolution, Molecular Influenza, Human Humans Machine Learning
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Using a machine learning approach to predict mortality in critically ill influenza patients: a cross-sectional retrospective multicentre study in Taiwan.

BMJ open Feb 25, 2020
OBJECTIVES: Current mortality prediction models used in the intensive care unit (ICU) have a limited role for specific diseases such as influenza, and we aimed to establish an explainable machine learning (ML) model for predicting mortality in critic...
Machine Learning Retrospective Studies Humans Hospital Mortality Influenza, Human Cross-Sectional Studies Critical Illness Models, Theoretical Outcome Assessment, Health Care Female Male Taiwan Adult Middle Aged
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Attention-based recurrent neural network for influenza epidemic prediction.

BMC bioinformatics Nov 25, 2019
BACKGROUND: Influenza is an infectious respiratory disease that can cause serious public health hazard. Due to its huge threat to the society, precise real-time forecasting of influenza outbreaks is of great value to our public.
Disease Outbreaks China Influenza, Human Neural Networks, Computer Forecasting Public Health Humans
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Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes.

Mathematical biosciences Jun 17, 2019
Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous threat to human health worldwide. It leads to high mortality rates in poultry, pigs, and humans. The primary target identity regions for the human immune...
Neuraminidase Viral Proteins Conserved Sequence Epitopes, B-Lymphocyte Hemagglutinin Glycoproteins, Influenza Virus Humans Glycosylation Machine Learning Databases, Protein Influenza A virus Influenza, Human
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