非临床环境中偏头痛诊断工具验证研究的系统综述
关于偏头痛诊断工具在非临床环境中验证的系统综述数据集,包含27项研究和19种工具的诊断性能数据。

基本信息
资源简介
非临床环境中偏头痛诊断工具验证研究的系统综述
【数据集背景】
本数据集源站标题为《Validation studies on migraine diagnostic tools for use in nonclinical settings: a systematic review》。配套论文《Validation studies on migraine diagnostic tools for use in nonclinical settings: a systematic review》发表于 Arquivos de Neuro-Psiquiatria(2022),DOI:10.1055/s-0042-1756490。源站首次发布:2023-06-06。
【数据内容】
源站原始描述:Abstract Background Migraine underdiagnosis and undertreatment are so widespread, that hence is essential to diagnose migraine sufferers in nonclinical settings. A systematic review of validation studies on migraine diagnostic tools applicable to nonclinical settings can help researchers and practitioners in tool selection decisions. Objective To systematically review and critically assess published validation studies on migraine diagnostic tools for use in nonclinical settings, as well as to de…
【数据结构与技术规格】
文件数 6 个,合计 1.89 MB。数据集 DOI:10.6084/m9.figshare.23300522.v1。
【主题与分类】
源站学科分类:Neuroscience、Psychiatry (incl. Psychotherapy)。主题标签:Migraine Disorders、Diagnosis、Sensitivity and Specificity、Systematic Review。
【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://scielo.figshare.com/articles/dataset/Validation_studies_on_migraine_diagnostic_tools_for_use_in_nonclinical_settings_a_systematic_review/23300522
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Wei, Du; Wong, Li Ping; Loganathan, Tharani; Tang, Rong-Rui; Chang, Yue; Zhou, Han-Ni; et al. (2023). Validation studies on migraine diagnostic tools for use in nonclinical settings: a systematic review. SciELO journals. Dataset
下载信息
注册下载
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。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放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)
- 源站标题:Validation studies on migraine diagnostic tools for use in nonclinical settings: a systematic review
- DOI:10.6084/m9.figshare.23300522.v1
- 发布日期:2023-06-06
- 文件数:6 个
- 文件总体积:1.89 MB
- 源站页面:https://scielo.figshare.com/articles/dataset/Validation_studies_on_migraine_diagnostic_tools_for_use_in_nonclinical_settings_a_systematic_review/23300522
命令行下载
curl -L -o "4eb33a76883da26a9be3ada66c97e9d4cdc4c38b.tif" "https://ndownloader.figshare.com/files/41072549"
curl -L -o "1929a299c0ac323d7c2544eb0a6aadd09c2c9d45.png" "https://ndownloader.figshare.com/files/41072552"
curl -L -o "b2f528d12890d4c19e50f0bbb89a7c50b781adec.jpg" "https://ndownloader.figshare.com/files/41072555"
curl -L -o "7645c61a733a74417df7f15c7218002b94b13834.tif" "https://ndownloader.figshare.com/files/41072558"
curl -L -o "35fb2345c00b2802d49d31b78f3c7b8f6a2a29b2.png" "https://ndownloader.figshare.com/files/41072561"
curl -L -o "81356a7d5c411f5f441647bbd9016f28af545086.jpg" "https://ndownloader.figshare.com/files/41072564"
文件清单
4eb33a76883da26a9be3ada66c97e9d4cdc4c38b.tif(1.02 MB)1929a299c0ac323d7c2544eb0a6aadd09c2c9d45.png(179.45 KB)b2f528d12890d4c19e50f0bbb89a7c50b781adec.jpg(4.82 KB)7645c61a733a74417df7f15c7218002b94b13834.tif(587.28 KB)35fb2345c00b2802d49d31b78f3c7b8f6a2a29b2.png(91.17 KB)81356a7d5c411f5f441647bbd9016f28af545086.jpg(6.25 KB)
文件总体积 1.89 MB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
Abstract Background Migraine underdiagnosis and undertreatment are so widespread, that hence is essential to diagnose migraine sufferers in nonclinical settings. A systematic review of validation studies on migraine diagnostic tools applicable to nonclinical settings can help researchers and practitioners in tool selection decisions. Objective To systematically review and critically assess published validation studies on migraine diagnostic tools for use in nonclinical settings, as well as to describe their diagnostic performance. Methods A multidisciplinary workgroup followed transparent and systematic procedures to collaborate on this work. PubMed, Medline, and Web of Science were searched for studies up to January 17, 2022. The QUADAS-2 was employed to assess methodological quality, and the quality thresholds adopted by the Global Burden Disease study were used to tail signaling questions. Results From 7,214 articles identified, a total of 27 studies examining 19 tools were eligible for inclusion. There has been no high-quality evidence to support any tool for use of migraine diagnosis in nonclinical settings. The diagnostic accuracy of the ID-migraine, structured headache and HARDSHIP questionnaires have been supported by moderate-quality evidence, with sensitivity and specificity above 70%. Of them, the HARDSHIP questionnaire has been the most extensively validated. The remaining 16 tools have provided poor-quality evidence for migraine diagnosis in nonclinical populations. Conclusions Up till now, the HARDSHIP questionnaire is the optimal choice for diagnosing migraine in nonclinical settings, with satisfactory diagnostic accuracy supported by moderate methodological quality. This work reveals the crucial next step, which is further high-quality validation studies in diverse nonclinical population groups.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.23300522.v1(source: https://scielo.figshare.com/articles/dataset/Validation_studies_on_migraine_diagnostic_tools_for_use_in_nonclinical_settings_a_systematic_review/23300522)。
数据缺失?
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