AIMC Topic: Vaccination
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Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination.
Scientific reports
Feb 27, 2025
The rapid deployment of COVID-19 vaccines has necessitated the ongoing surveillance of adverse events, with abnormal uterine bleeding (AUB) emerging as a reported concern in vaccinated females. We aimed to develop a machine learning (ML) model to pre...
[Digital innovations in vaccination communication].
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Feb 13, 2025
Despite the significant success of vaccinations, increasing vaccine hesitancy poses a threat to public health, making effective vaccination communication essential. Both personalized, needs-based conversations between healthcare providers and patient...
A comparison of the persuasiveness of human and ChatGPT generated pro-vaccine messages for HPV.
Frontiers in public health
Jan 16, 2025
INTRODUCTION: Public health messaging is crucial for promoting beneficial health outcomes, and the latest advancements in artificial intelligence offer new opportunities in this field. This study aimed to evaluate the effectiveness of ChatGPT-4 in ge...
The influence of factors related to public health campaigns on vaccination behavior among population of Wuxi region, China.
Frontiers in public health
Jan 10, 2025
BACKGROUND: Public health campaigns are essential for promoting vaccination behavior, but factors such as socioeconomic status, geographical location, campaign quality, and service accessibility influence vaccine uptake. In the Wuxi region of China, ...
Policy brief: Improving national vaccination decision-making through data.
Frontiers in public health
Dec 17, 2024
Life course immunisation looks at the broad value of vaccination across multiple generations, calling for more data power, collaboration, and multi-disciplinary work. Rapid strides in artificial intelligence, such as machine learning and natural lang...
Evaluating generative artificial intelligence's limitations in health policy identification and interpretation.
PloS one
Dec 12, 2024
Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze, and categorize legally-enforceable policies. The Analysis and Mapping of Policies for Emerging Infectious Diseases project systematically collects an...
Predictive analysis of COVID-19 occurrence and vaccination impacts across the 50 US states.
Computers in biology and medicine
Dec 3, 2024
OBJECTIVE: This study aimed to outline a machine learning model to assess the effectiveness of vaccination in COVID-19 confirmed cases and fatalities. The proposed model was evaluated using external validation to ensure optimal protection of vaccinat...
Integrating graph and reinforcement learning for vaccination strategies in complex networks.
Scientific reports
Dec 2, 2024
Pandemics like COVID-19 have a huge impact on human society and the global economy. Vaccines are effective in the fight against these pandemics but often in limited supplies, particularly in the early stages. Thus, it is imperative to distribute such...
Machine learning algorithms for prediction of measles one vaccination dropout among 12-23 months children in Ethiopia.
BMJ open
Nov 14, 2024
INTRODUCTION: Despite the availability of a safe and effective measles vaccine in Ethiopia, the country has experienced recurrent and significant measles outbreaks, with a nearly fivefold increase in confirmed cases from 2021 to 2023. The WHO has ide...
Development, study, and comparison of models of cross-immunity to the influenza virus using statistical methods and machine learning.
Voprosy virusologii
Sep 26, 2024
INTRODUCTION: The World Health Organization considers the values of antibody titers in the hemagglutination inhibition assay as one of the most important criteria for assessing successful vaccination. Mathematical modeling of cross-immunity allows fo...
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