AIMC Topic: Influenza, Human

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Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

Journal of medical Internet research Sep 12, 2017
BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending topi...
Disease Outbreaks Social Media Influenza, Human Drug Therapy Humans Machine Learning Public Health
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The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance.

Applied clinical informatics May 31, 2017
OBJECTIVES: This study evaluates the accuracy and portability of a natural language processing (NLP) tool for extracting clinical findings of influenza from clinical notes across two large healthcare systems. Effectiveness is evaluated on how well NL...
Influenza, Human Academic Medical Centers Medical Informatics Humans Epidemiological Monitoring Electronic Health Records Public Health Natural Language Processing
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Predicting Zoonotic Risk of Influenza A Viruses from Host Tropism Protein Signature Using Random Forest.

International journal of molecular sciences May 25, 2017
Influenza A viruses remain a significant health problem, especially when a novel subtype emerges from the avian population to cause severe outbreaks in humans. Zoonotic viruses arise from the animal population as a result of mutations and reassortmen...
Retrospective Studies Reproducibility of Results Animals Disease Outbreaks Humans Machine Learning Host-Pathogen Interactions Host Specificity Models, Theoretical Zoonoses Databases, Genetic Viral Tropism Area Under Curve Influenza, Human Influenza in Birds Viral Proteins Birds Orthomyxoviridae Infections Influenza A virus
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Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza.

PloS one Jul 25, 2016
Traditional methods for monitoring influenza are haphazard and lack fine-grained details regarding the spatial and temporal dynamics of outbreaks. Twitter gives researchers and public health officials an opportunity to examine the spread of influenza...
Public Health Surveillance Social Media Influenza, Human Machine Learning Geography, Medical Disease Outbreaks Humans Geographic Information Systems United States
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Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model.

Journal of clinical epidemiology Mar 7, 2016
OBJECTIVE: To develop and validate a method for automatically quantifying the scientific quality and sensationalism of individual news records.
Influenza, Human Information Dissemination Influenza A Virus, H1N1 Subtype Mass Media Databases, Factual Reproducibility of Results Sensitivity and Specificity Severe Acute Respiratory Syndrome Machine Learning Pandemics Humans
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Selenium supplementation has beneficial and detrimental effects on immunity to influenza vaccine in older adults.

Clinical nutrition (Edinburgh, Scotland) Dec 24, 2015
BACKGROUND & AIMS: Mortality resulting from influenza (flu) virus infections occurs primarily in the elderly through declining immunity. Studies in mice have suggested beneficial effects of selenium (Se) supplementation on immunity to flu but similar...
Middle Aged Diet Selenium Immunoglobulin A Immunity, Cellular Humans Female Dose-Response Relationship, Drug Influenza, Human Cytokines T-Lymphocytes Dietary Supplements Influenza Vaccines Male Double-Blind Method Immunoglobulins Antibodies, Viral Saliva Cell Proliferation Body Mass Index
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Clinical course of H1N1-vaccine-related narcolepsy.

Sleep medicine Nov 25, 2015
OBJECTIVE: To follow and analyze the clinical course and quality of life of Pandemrix H1N1-vaccine-related narcolepsy (pNT1).
Influenza Vaccines Influenza A Virus, H1N1 Subtype Surveys and Questionnaires Narcolepsy Humans Adolescent Female Orexins Influenza, Human Male Polysomnography
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Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

PLoS computational biology Oct 29, 2015
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly rea...
Humans Vocabulary, Controlled Machine Learning Search Engine Prevalence Influenza, Human Population Surveillance Database Management Systems Seasons United States Data Mining Databases, Factual Social Media Pattern Recognition, Automated Risk Assessment Natural Language Processing
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Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.

BMC medical informatics and decision making Oct 6, 2015
BACKGROUND: We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the impact of the 2009 influenza p...
Expert Systems General Practice Natural Language Processing Influenza, Human Humans Narration
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Comparison of machine learning classifiers for influenza detection from emergency department free-text reports.

Journal of biomedical informatics Sep 16, 2015
Influenza is a yearly recurrent disease that has the potential to become a pandemic. An effective biosurveillance system is required for early detection of the disease. In our previous studies, we have shown that electronic Emergency Department (ED) ...
Influenza, Human Humans Machine Learning Emergency Service, Hospital
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