AI-VaxGuide: An Agentic RAG-Based LLM for Vaccination Decisions

The contribution of vaccination to global health: past, present and future

Brian Greenwood · 2014

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Decoding concerns: Multi-label classification of vaccine sentiments in social media, 2023

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Improving dutch vaccine hesitancy monitoring via multi-label data augmentation with gpt-3.5

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Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2023

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Ae-gpt: Using large language models to extract adverse events from surveillance reports-a use case with influenza vaccine adverse events

Yiming Li, Jianfu Li, Jianping He, and Cui Tao · 2024

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Ensuring accuracy and equity in vaccination information from chatgpt and cdc: Mixed-methods cross-language evaluation

Saubhagya Joshi, Eunbin Ha, Andee Amaya, Melissa Mendoza, Yonaira Rivera, and Vivek K Singh · 2024

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Use of large language models as a scalable approach to understanding public health discourse

Laura Espinosa and Marcel Salathé · 2024

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Understanding public attitudes towards human papillomavirus vaccination in japan: Insights from social media stance analysis using large language models

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Optimizing social media annotation of hpv vaccine skepticism and misinformation using large language models: An experimental evaluation of in-context learning and fine-tuning stance detection across multiple models, 2024

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Hierarchical Multi-label Classification of Online Vaccine Concerns, page 249–264

Chloe Qinyu Zhu, Rickard Stureborg, and Bhuwan Dhingra · 2024

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Accuracy of a large language model in distinguishing anti- and pro-vaccination messages on social media: The case of human papillomavirus vaccination

Soojong Kim, Kwanho Kim, and Claire Wonjeong Jo · 2024

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A century after jacobson v. massachusetts: Public health ethical perspectives of large language models on vaccination

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Unveiling differential adverse event profiles in vaccines via llm text embeddings and ontology semantic analysis

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