英格兰新生儿病房血流感染率趋势评估中的监测与临床数据关联

数据集获取（Figshare）

• 源站标题：Linking surveillance and clinical data for evaluating trends in bloodstream infection rates in neonatal units in England
• DOI：10.1371/journal.pone.0226040
• 发布日期：2019-12-12
• 文件数：6 个
• 文件总体积：650.09 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Linking_surveillance_and_clinical_data_for_evaluating_trends_in_bloodstream_infection_rates_in_neonatal_units_in_England/11361350

命令行下载

curl -L -o "pone.0226040.s001.docx" "https://ndownloader.figshare.com/files/20166446"
curl -L -o "pone.0226040.s002.docx" "https://ndownloader.figshare.com/files/20166449"
curl -L -o "pone.0226040.s003.docx" "https://ndownloader.figshare.com/files/20166452"
curl -L -o "pone.0226040.s004.pdf" "https://ndownloader.figshare.com/files/20166455"
curl -L -o "pone.0226040.s005.png" "https://ndownloader.figshare.com/files/20166458"
curl -L -o "pone.0226040.s006.xls" "https://ndownloader.figshare.com/files/20166461"

文件清单

• pone.0226040.s001.docx（19.66 KB）
• pone.0226040.s002.docx（15.63 KB）
• pone.0226040.s003.docx（77.64 KB）
• pone.0226040.s004.pdf（430.69 KB）
• pone.0226040.s005.png（56.30 KB）
• pone.0226040.s006.xls（50.18 KB）

文件总体积 650.09 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

Objective
To evaluate variation in trends in bloodstream infection (BSI) rates in neonatal units (NNUs) in England according to the data sources and linkage methods used.
Methods
We used deterministic and probabilistic methods to link clinical records from 112 NNUs in the National Neonatal Research Database (NNRD) to national laboratory infection surveillance data from Public Health England. We calculated the proportion of babies in NNRD (aged Results
Using deterministic and probabilistic linkage, 5,629 of 349,740 babies admitted to a NNU in NNRD linked with 6,660 BSI episodes accounting for 38% of 17,388 BSI records aged Conclusion
Linkage that combines BSI records from national laboratory surveillance and clinical NNU data sources, and use of probabilistic methods, substantially improved ascertainment of BSI and estimates of BSI trends over time, compared with single data sources.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0226040（source: https://plos.figshare.com/articles/dataset/Linking_surveillance_and_clinical_data_for_evaluating_trends_in_bloodstream_infection_rates_in_neonatal_units_in_England/11361350）。