手术部位感染深度评估一致性数据集
包含欧洲10国医生对手术部位感染深度评分的表格数据，用于评估专业人员间的一致性。
基本信息
资源简介
手术部位感染深度评估一致性数据集
【数据集背景】
本数据集源站标题为《Assessment of within- and between-specialty agreement about surgical site infection depth within and across 10 European countries.》。配套论文《Agreement among Healthcare Professionals in Ten European Countries in Diagnosing Case-Vignettes of Surgical-Site Infections》发表于 PLoS ONE（2013），DOI：10.1371/journal.pone.0068618。源站首次发布：2013-07-09。
【数据内容】
源站原始描述：SSI, surgical-site infection; ICP, infection control physician; 95%CI, 95% confidence interval. aSSI Depth was scored on a 4-point scale: 1, no SSI in vignettes with scores lower than 4 on the 7-point Likert scale for SSI diagnosis; 2, superficial SSI; 3, uncertainty about SSI diagnosis; 4, deep/organ space SSI in vignettes scored 4 or more on the 7-point Likert scale for SSI diagnosis. bSSI Depth not scored because infection scores were 3 or less
【数据结构与技术规格】
文件数 1 个，合计 9.73 KB。Table_3.xls：application/vnd.ms-excel，9.73 KB。数据集 DOI：10.1371/journal.pone.0068618.t003。
【主题与分类】
源站学科分类：Medicine。主题标签：Diagnostic medicine、pathology、anatomical pathology、Surgical pathology、Infectious diseases、Bacterial diseases、Infectious disease control、Non-clinical medicine、Health care policy、Health risk analysis。
【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/_Assessment_of_within_and_between_specialty_agreement_about_surgical_site_infection_depth_within_and_across_10_European_countries_/742057
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Birgand, Gabriel; Lepelletier, Didier; Baron, Gabriel; Barrett, Steve; Breier, Ann-Christin; Buke, Cagri; et al. (2015). Assessment of within- and between-specialty agreement about surgical site infection depth within and across 10 European countries.. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-30，引用时请注意版本时效。
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：Assessment of within- and between-specialty agreement about surgical site infection depth within and across 10 European countries.
- DOI：10.1371/journal.pone.0068618.t003
- 发布日期：2013-07-09
- 文件数：1 个
- 文件总体积：9.73 KB
- 源站页面：https://plos.figshare.com/articles/dataset/_Assessment_of_within_and_between_specialty_agreement_about_surgical_site_infection_depth_within_and_across_10_European_countries_/742057
命令行下载
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/1114510"
文件清单
Table_3.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
SSI, surgical-site infection; ICP, infection control physician; 95%CI, 95% confidence interval.
aSSI Depth was scored on a 4-point scale: 1, no SSI in vignettes with scores lower than 4 on the 7-point Likert scale for SSI diagnosis; 2, superficial SSI; 3, uncertainty about SSI diagnosis; 4, deep/organ space SSI in vignettes scored 4 or more on the 7-point Likert scale for SSI diagnosis.
bSSI Depth not scored because infection scores were 3 or less.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0068618.t003（source: https://plos.figshare.com/articles/dataset/_Assessment_of_within_and_between_specialty_agreement_about_surgical_site_infection_depth_within_and_across_10_European_countries_/742057）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
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