AIMC Topic: Vaccination

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Machine Learning Approach for Active Vaccine Safety Monitoring.

Journal of Korean medical science Aug 9, 2021
BACKGROUND: Vaccine safety surveillance is important because it is related to vaccine hesitancy, which affects vaccination rate. To increase confidence in vaccination, the active monitoring of vaccine adverse events is important. For effective active...
Humans Machine Learning Databases, Factual Republic of Korea Adverse Drug Reaction Reporting Systems Product Surveillance, Postmarketing Anaphylaxis Agranulocytosis Vaccination Vaccines Drug-Related Side Effects and Adverse Reactions
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Optimizing COVID-19 vaccine distribution across the United States using deterministic and stochastic recurrent neural networks.

PloS one Jul 6, 2021
Optimizing COVID-19 vaccine distribution can help plan around the limited production and distribution of vaccination, particularly in early stages. One of the main criteria for equitable vaccine distribution is predicting the geographic distribution ...
COVID-19 SARS-CoV-2 COVID-19 Vaccines Vaccination United States Neural Networks, Computer
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Indian citizen's perspective about side effects of COVID-19 vaccine - A machine learning study.

Diabetes & metabolic syndrome Jun 10, 2021
BACKGROUND AND AIMS: Ever since the vaccination drive for COVID-19 has started in India, the citizens have been sharing their views on social media about it. The present study examines the attitude of Indian citizens towards the side effects of the C...
Vaccination Social Media Drug-Related Side Effects and Adverse Reactions Humans Machine Learning India COVID-19 COVID-19 Vaccines SARS-CoV-2
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Tracking COVID-19 vaccine hesitancy and logistical challenges: A machine learning approach.

PloS one Jun 2, 2021
Humans Machine Learning Vaccination United States Vaccination Refusal COVID-19 SARS-CoV-2 COVID-19 Vaccines
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Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis.

Journal of medical Internet research May 19, 2021
BACKGROUND: COVID-19 is one of the greatest threats to human beings in terms of health care, economy, and society in recent history. Up to this moment, there have been no signs of remission, and there is no proven effective cure. Vaccination is the p...
Humans Machine Learning Public Opinion Vaccination COVID-19 Australia SARS-CoV-2 Social Media COVID-19 Vaccines
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Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study.

Journal of medical Internet research Apr 5, 2021
BACKGROUND: Global efforts toward the development and deployment of a vaccine for COVID-19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccines is required, which necessitates significant cooperation from the general...
COVID-19 Vaccines Vaccination United States Artificial Intelligence COVID-19 SARS-CoV-2 Public Opinion Patient Acceptance of Health Care Social Media Natural Language Processing United Kingdom Humans
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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...
Middle Aged Risk Assessment Medication Adherence Influenza Vaccines Vaccination Age Factors Cross-Sectional Studies Influenza, Human Nutrition Surveys Male Support Vector Machine Cardiovascular Diseases Databases, Factual Republic of Korea Humans Female Risk Factors Young Adult Aged Adult
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Reliable or not? An automated classification of webpages about early childhood vaccination using supervised machine learning.

Patient education and counseling Nov 12, 2020
OBJECTIVE: To investigate the applicability of supervised machine learning (SML) to classify health-related webpages as 'reliable' or 'unreliable' in an automated way.
Vaccination Humans Supervised Machine Learning Reproducibility of Results Child, Preschool Child
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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 ...
Hemagglutination Inhibition Tests HIV Infections Child Influenza A Virus, H1N1 Subtype Computational Biology Reproducibility of Results Immunogenicity, Vaccine Humans Influenza, Human Gene Expression Profiling Artificial Intelligence Vaccines, Inactivated Influenza Vaccines Transcriptome Prognosis Vaccination Coinfection
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Development, Implementation, and Evaluation of a Personalized Machine Learning Algorithm for Clinical Decision Support: Case Study With Shingles Vaccination.

Journal of medical Internet research Apr 29, 2020
BACKGROUND: Although clinical decision support (CDS) alerts are effective reminders of best practices, their effectiveness is blunted by clinicians who fail to respond to an overabundance of inappropriate alerts. An electronic health record (EHR)-int...
Humans Machine Learning Decision Support Systems, Clinical Vaccination Herpes Zoster Algorithms Precision Medicine Pilot Projects
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