ChatGPT在偏头痛预防文献评估中的效用:一项观察性定性研究的数据表2

ChatGPT评估偏头痛预防药物疗效及引用文献真实性研究的数据集。

NIAID Data Ecosystem
浏览 17
文本artificial intelligenceChatGPTmigrainepreventive medicationsevidence-based medicine
Data_Sheet_2_The utility of ChatGPT in the assessment of literature on the prevention of migraine: an observational, qualitative study.docx

基本信息

模态
文本
大小
0.000025965 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

ChatGPT在偏头痛预防文献评估中的效用:一项观察性定性研究的数据表2

【一句话概览】

本数据集是 figshare 公开的文本数据集,收录 1 个文件、合计 25.96 KB,主题涵盖 artificial intelligence、ChatGPT、migraine、preventive medications、evidence-based medicine,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Data_Sheet_2_The utility of ChatGPT in the assessment of literature on the prevention of migraine: an observational, qualitative study.docx》。配套论文《The utility of ChatGPT in the assessment of literature on the prevention of migraine: an observational, qualitative study》发表于 Frontiers in Neurology(2023),DOI:10.3389/fneur.2023.1225223。源站首次发布:2023-08-17。

【数据内容】

源站原始描述:BackgroundIt is not known how large language models, such as ChatGPT, can be applied toward the assessment of the efficacy of medications, including in the prevention of migraine, and how it might support those claims with existing medical evidence. MethodsWe queried ChatGPT-3.5 on the efficacy of 47 medications for the prevention of migraine and then asked it to give citations in support of its assessment. ChatGPT’s evaluations were then compared to their FDA approval status for this indication…

【数据结构与技术规格】

文件数 1 个,合计 25.96 KB。Data_Sheet_2_The utility of ChatGPT in the assessment of literature on the prevention of migraine: an observational, qualitative study.docx:undefined,25.96 KB。数据集 DOI:10.3389/fneur.2023.1225223.s002。

【主题与分类】

源站学科分类:Neurology and Neuromuscular Diseases、Neurogenetics。主题标签:artificial intelligence、ChatGPT、migraine、preventive medications、evidence-based medicine。

【适用方向】

文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_The_utility_of_ChatGPT_in_the_assessment_of_literature_on_the_prevention_of_migraine_an_observational_qualitative_study_docx/23973405

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Moskatel, Leon S.; Zhang, Niushen (2023). Data_Sheet_2_The utility of ChatGPT in the assessment of literature on the prevention of migraine: an observational, qualitative study.docx. Frontiers. Dataset

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下载信息

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需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Data_Sheet_2_The utility of ChatGPT in the assessment of literature on the prevention of migraine: an observational, qualitative study.docx" "https://ndownloader.figshare.com/files/42035487"

文件清单

  • Data_Sheet_2_The utility of ChatGPT in the assessment of literature on the prevention of migraine: an observational, qualitative study.docx(25.96 KB)

文件总体积 25.96 KB(源站 API 实测)。

数据说明

BackgroundIt is not known how large language models, such as ChatGPT, can be applied toward the assessment of the efficacy of medications, including in the prevention of migraine, and how it might support those claims with existing medical evidence.
MethodsWe queried ChatGPT-3.5 on the efficacy of 47 medications for the prevention of migraine and then asked it to give citations in support of its assessment. ChatGPT’s evaluations were then compared to their FDA approval status for this indication as well as the American Academy of Neurology 2012 evidence-based guidelines for the prevention of migraine. The citations ChatGPT generated for these evaluations were then assessed to see if they were real papers and if they were relevant to the query.
ResultsChatGPT affirmed that the 14 medications that have either received FDA approval for prevention of migraine or AAN Grade A/B evidence were effective for migraine. Its assessments of the other 33 medications were unreliable including suggesting possible efficacy for four medications that have never been used for the prevention of migraine. Critically, only 33/115 (29%) of the papers ChatGPT cited were real, while 76/115 (66%) were “hallucinated” not real papers and 6/115 (5%) shared the names of real papers but had not real citations.
ConclusionWhile ChatGPT produced tailored answers on the efficacy of the queried medications, the results were unreliable and inaccurate because of the overwhelming volume of “hallucinated” articles it generated and cited.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2023.1225223.s002(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_The_utility_of_ChatGPT_in_the_assessment_of_literature_on_the_prevention_of_migraine_an_observational_qualitative_study_docx/23973405)。

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