在资源有限环境中5岁以下儿童分诊时预测脓毒症的预测因素：一项改进的德尔菲过程

数据集获取（Figshare）

• 源站标题：Determining predictors of sepsis at triage among children under 5 years of age in resource-limited settings: A modified Delphi process
• DOI：10.1371/journal.pone.0211274
• 发布日期：2019-01-28
• 文件数：5 个
• 文件总体积：391.77 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Determining_predictors_of_sepsis_at_triage_among_children_under_5_years_of_age_in_resource-limited_settings_A_modified_Delphi_process/7639187

命令行下载

curl -L -o "pone.0211274.s001.docx" "https://ndownloader.figshare.com/files/14191466"
curl -L -o "pone.0211274.s002.xlsx" "https://ndownloader.figshare.com/files/14191469"
curl -L -o "pone.0211274.s003.docx" "https://ndownloader.figshare.com/files/14191472"
curl -L -o "pone.0211274.s004.pdf" "https://ndownloader.figshare.com/files/14191475"
curl -L -o "pone.0211274.s005.pdf" "https://ndownloader.figshare.com/files/14191478"

文件清单

• pone.0211274.s001.docx（15.54 KB）
• pone.0211274.s002.xlsx（78.32 KB）
• pone.0211274.s003.docx（20.72 KB）
• pone.0211274.s004.pdf（216.09 KB）
• pone.0211274.s005.pdf（61.11 KB）

文件总体积 391.77 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

Sepsis is a life-threatening dysfunction of the immune system leading to multiorgan failure that is precipitated by infectious diseases and is a leading cause of death in children under 5 years of age. It is necessary to be able to identify a sick child at risk of developing sepsis at the earliest point of presentation to a healthcare facility so that appropriate care can be provided as soon as possible. Our study objective was to generate a list of consensus-driven predictor variables for the derivation of a prediction model that will be incorporated into a mobile device and operated by low-skilled healthcare workers at triage. By conducting a systematic literature review and examination of global guideline documents, a list of 72 initial candidate predictor variables was generated. A two-round modified Delphi process involving 26 experts from both resource-rich and resource-limited settings, who were also encouraged to suggest new variables, yielded a final list of 45 predictor variables after evaluating each variable based on three domains: predictive potential, measurement reliability, and level of training and resources required. The final list of predictor variables will be used to collect data and contribute to the derivation of a prediction model.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0211274（source: https://plos.figshare.com/articles/dataset/Determining_predictors_of_sepsis_at_triage_among_children_under_5_years_of_age_in_resource-limited_settings_A_modified_Delphi_process/7639187）。