HCV阳性受试者数据

数据集获取（Figshare）

• 源站标题：HCV+ Subjects 14.08.18.xlsx
• DOI：10.6084/m9.figshare.5355097.v6
• 发布日期：2018-08-14
• 文件数：2 个
• 文件总体积：129.72 KB
• 源站页面：https://figshare.com/articles/dataset/HCV_Subjects_29_08_17_xlsx/5355097

命令行下载

curl -L -o "140818 HCV+ Subjects Oxford.xlsx" "https://ndownloader.figshare.com/files/12775289"
curl -L -o "140818 HCV+ Subjects Oxford.csv" "https://ndownloader.figshare.com/files/12775421"

文件清单

• 140818 HCV+ Subjects Oxford.xlsx（74.37 KB）
• 140818 HCV+ Subjects Oxford.csv（55.35 KB）

文件总体积 129.72 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

We performed a retrospective study of HCV infection in a UK teaching hospital to evaluate and compare the performance of different laboratory tests, to describe the population with active HCV infection and to determine the proportion of these individuals who access clinical review and treatment. Microbiology records for all HCV screening tests performed at Oxford University Hospitals within two defined time-intervals (Group 1 - 18 months; Jan 2013 - June 2014, Group 2 - 15 months; Jan 2015 - March 2016) were studied . For those testing positive we collected follow-up testing data. We recorded patient age, sex, and the location from which the sample was sent. We used an analytical tool to estimate ethnicity applying Onolytics software for all patients whom a full name was part of the electronic record. Ethics approval was not required, as this study was undertaken as a departmental quality improvement exercise within microbiology using anonymised patient data, and completed the audit cycle for previously approved audit projects. Data for Onolytics analysis were handled separately and were subject to a confidential disclosure agreement drawn up by University of Oxford Research Services (February 2016).

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.5355097.v6（source: https://figshare.com/articles/dataset/HCV_Subjects_29_08_17_xlsx/5355097）。