诊断准确性数据集

基于500名有症状个体数据,评估SARS-CoV-2和流感快速抗原检测在初级保健中的诊断准确性(敏感性、特异性)。

Figshare
2025-08-07 更新
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Diagnostic accuracy.

基本信息

模态
表格
大小
0.000009728 GB
许可
CC BY 4.0
创建/更新时间
2025-08-07
版本
v1

资源简介

诊断准确性数据集

【数据集背景】

本数据集源站标题为《Diagnostic accuracy.》。配套论文《Diagnostic accuracy evaluation of a point-of-care antigen test for SARS-CoV-2 and influenza in UK primary care (RAPTOR-C19)》发表于 PLOS One(2025),DOI:10.1371/journal.pone.0329611。源站首次发布:2025-08-07。

【数据内容】

源站原始描述:Objectives To evaluate the diagnostic accuracy of the Roche SARS-CoV-2 &amp; Flu A/B Rapid Antigen Test at the point of care. Design Prospective diagnostic accuracy study. Setting 17 primary care practices in England. Participants 500 individuals with symptoms consistent with possible SARS-CoV-2 or influenza infection identified upon presentation to primary care or via medical note review. Primary and secondary outcome measures Sensitivity, specificity and predictive values, compared to a laboratory…

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 2.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0329611.t002。

【主题与分类】

源站学科分类:Medicine、Cell Biology、Molecular Biology、Biotechnology、Evolutionary Biology、Cancer。主题标签:8 &amp;# 8211、0 &amp;# 8211、reference test results、laboratory reference standard、uk primary care、primary care population、diagnostic accuracy evaluation、c19 )</ p、6 &amp;# 8211、4 &amp;# 8211。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Diagnostic_accuracy_/29854551

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

规范引用:Fanshawe, Thomas R.; Tonner, Sharon; Turner, Philip J.; Głogowska, Margaret; Ukwatte, Umasha; Okusi, Cecilia; et al. (2025). Diagnostic accuracy.. PLOS ONE. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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)

命令行下载

curl -L -o "Table 2.xls" "https://ndownloader.figshare.com/files/57013866"

文件清单

  • Table 2.xls(9.73 KB)

文件总体积 9.73 KB(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

Objectives
To evaluate the diagnostic accuracy of the Roche SARS-CoV-2 & Flu A/B Rapid Antigen Test at the point of care.
Design
Prospective diagnostic accuracy study.
Setting
17 primary care practices in England.
Participants
500 individuals with symptoms consistent with possible SARS-CoV-2 or influenza infection identified upon presentation to primary care or via medical note review.
Primary and secondary outcome measures
Sensitivity, specificity and predictive values, compared to a laboratory reference standard of real-time reverse transcription PCR, using samples collected using a combined nasal and oropharyngeal swab.
Results
Of 481 participants with available index and reference test results, 5.6% (27/481) were reference standard-positive for SARS-CoV-2, 11.4% (55/481) for Influenza A and 1.9% (9/481) for Influenza B. The sensitivity of the antigen test to detect SARS-CoV-2 was 70.4% (19/27, 95% CI 49.6–86.2%) and specificity was 99.3% (451/454, 95%CI 98.1–99.9%). For Influenza A, sensitivity was 29.1% (16/55, 95% CI 17.6–42.9%) and specificity 98.6% (420/426, 97.0–99.5%), and for Influenza B, sensitivity was 22.2% (2/9, 2.8–60.0%) and specificity 98.1% (463/472, 96.4–99.1%).
Conclusions
In a primary care population of symptomatic individuals, the assay was highly specific and had moderate sensitivity to detect SARS-CoV-2, but did not detect the majority of influenza infections.
Registration
ISRCTN14226970.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0329611.t002(source: https://plos.figshare.com/articles/dataset/Diagnostic_accuracy_/29854551)。

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