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English(EN) Leveraging Few-Shot Learning and Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature

LLM用于分析文献中按性别划分的血压变异

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员探索了使用大型语言模型（LLM）分析科学文献中不同生物性别间的血压变异。该研究利用自然语言处理（NLP）技术和一个基于Apache Solr的搜索引擎从PubMed检索相关文章。进行了使用少样本学习和零样本LLM（如Llama 3和GPT-3.5）的实验，以提取血压值的均值和标准差，以及相关的生物性别指标。 AI

影响 这项研究展示了LLM从科学文献中提取细微生物数据的潜力，可能改进健康研究。

排序理由 该条目是一篇学术论文，详细介绍了研究方法和发现。[lever_c_demoted from research: ic=1 ai=1.0]

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LLM用于分析文献中按性别划分的血压变异

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该条目是一篇学术论文，详细介绍了研究方法和发现。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yuting Guo, Seyedeh Somayyeh Mousavi, Reza Sameni, Abeed Sarker ·

    利用少样本学习和大语言模型分析科学文献中不同生物性别间的血压变异性

    arXiv:2402.01826v2 Announce Type: replace-cross Abstract: Current blood pressure (BP) technologies and standards were established decades ago, and these standards are still used worldwide today, often without adjusting BP readings for individual demographic factors such as sex an…

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