AIMC Topic: Influenza, Human

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SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.

Journal of immunology (Baltimore, Md. : 1950) Jun 14, 2019
Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive...
Humans Young Adult Adult Male Adolescent Machine Learning Algorithms Female Datasets as Topic T-Lymphocyte Subsets CD4-Positive T-Lymphocytes Child Influenza, Human Vaccination CD8-Positive T-Lymphocytes Data Mining Influenza Vaccines
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Identifying genetic determinants of complex phenotypes from whole genome sequence data.

BMC genomics Jun 10, 2019
BACKGROUND: A critical goal in biology is to relate the phenotype to the genotype, that is, to find the genetic determinants of various traits. However, while simple monofactorial determinants are relatively easy to identify, the underpinnings of com...
Humans Machine Learning Algorithms Proteomics Drug Resistance, Bacterial Whole Genome Sequencing Phenotype Influenza A virus Influenza, Human Pseudomonas aeruginosa
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Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA.

Epidemics Jun 8, 2019
Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate development of accurate and efficient algorithms for forecasting of any upcoming influenza outbreaks. Most...
Texas Models, Statistical Bayes Theorem Humans Influenza, Human Disease Outbreaks Deep Learning Forecasting Public Health
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Weekly ILI patient ratio change prediction using news articles with support vector machine.

BMC bioinformatics May 20, 2019
BACKGROUND: Influenza continues to pose a serious threat to human health worldwide. For this reason, detecting influenza infection patterns is critical. However, as the epidemic spread of influenza occurs sporadically and rapidly, it is not easy to e...
Publications Influenza, Human Epidemics Humans Support Vector Machine Internet
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Regional level influenza study based on Twitter and machine learning method.

PloS one Apr 23, 2019
The significance of flu prediction is that the appropriate preventive and control measures can be taken by relevant departments after assessing predicted data; thus, morbidity and mortality can be reduced. In this paper, three flu prediction models, ...
Models, Statistical Disease Outbreaks Humans Social Media Centers for Disease Control and Prevention, U.S. Vaccination Data Analysis Influenza, Human Forecasting United States Support Vector Machine
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A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

The Journal of infection Feb 22, 2019
Adolescent Child Mass Screening Vital Signs Clinical Decision Rules Adult Predictive Value of Tests Aged Influenza, Human Machine Learning Sensitivity and Specificity Aged, 80 and over Female Male Young Adult Middle Aged Humans
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Estimation of the Basic Reproduction Number and Vaccination Coverage of Influenza in the United States (2017-18).

Journal of research in health sciences Sep 22, 2018
BACKGROUND: Determining the epidemic threshold parameter helps health providers calculate the coverage while guiding them in planning the process of vaccination strategy. Since the trend and mechanism of influenza is very similar in different countri...
Basic Reproduction Number Bayes Theorem Epidemics Humans Influenza, Human Vaccination Vaccination Coverage Health Services Needs and Demand United States
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Prediction of influenza-like illness based on the improved artificial tree algorithm and artificial neural network.

Scientific reports Mar 20, 2018
Because influenza is a contagious respiratory illness that seriously threatens public health, accurate real-time prediction of influenza outbreaks may help save lives. In this paper, we use the Twitter data set and the United States Centers for Disea...
Disease Outbreaks Prevalence Computational Biology Datasets as Topic Centers for Disease Control and Prevention, U.S. United States Influenza, Human Neural Networks, Computer Algorithms Computer Simulation Public Health Humans
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A review of influenza detection and prediction through social networking sites.

Theoretical biology & medical modelling Feb 1, 2018
Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of diseases. Search engines and social networking sites can be used to track trends of different diseases ...
Search Engine Disease Outbreaks Social Networking Predictive Value of Tests Internet Humans Influenza, Human Neural Networks, Computer Machine Learning
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Forecasting influenza-like illness dynamics for military populations using neural networks and social media.

PloS one Dec 15, 2017
This work is the first to take advantage of recurrent neural networks to predict influenza-like illness (ILI) dynamics from various linguistic signals extracted from social media data. Unlike other approaches that rely on timeseries analysis of histo...
Social Media Influenza, Human Military Personnel Epidemiological Monitoring Time Factors United States Regression Analysis Machine Learning Humans Forecasting Neural Networks, Computer
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