AIMC Topic: Influenza Vaccines

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Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.

Journal of the American Medical Informatics Association : JAMIA Jul 14, 2021
OBJECTIVE: Automated analysis of vaccine postmarketing surveillance narrative reports is important to understand the progression of rare but severe vaccine adverse events (AEs). This study implemented and evaluated state-of-the-art deep learning algo...
Humans Deep Learning Computer Systems United States Influenza Vaccines Adverse Drug Reaction Reporting Systems Guillain-Barre Syndrome
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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 Mar 18, 2021
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...
Humans Neural Networks, Computer Machine Learning Support Vector Machine Social Media Influenza, Human Influenza Vaccines Datasets as Topic Black or African American Racism
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Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.

Journal of bioinformatics and computational biology Feb 1, 2020
Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic pandemics due to rapid viral evolution. Vaccines are used to prevent influenza infections but the composition of the influenza vaccines have to be upd...
Humans Neural Networks, Computer Computational Biology Epitopes Influenza, Human Influenza Vaccines Mutation Rate Viral Proteins Influenza A Virus, H3N2 Subtype Interrupted Time Series Analysis
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