败血症病例事件日志
来源于医院的败血症病例事件日志,包含约1000个病例、15000个事件及39个属性,用于医疗流程分析与过程挖掘。

基本信息
资源简介
败血症病例事件日志
【数据集背景】
本数据集源站标题为《Sepsis Cases - Event Log》。源站首次发布:2016-12-07。
【数据内容】
源站原始描述:This real-life event log contains events of sepsis cases from a hospital. Sepsis is a life threatening condition typically caused by an infection. One case represents the pathway through the hospital. The events were recorded by the ERP (Enterprise Resource Planning) system of the hospital. There are about 1000 cases with in total 15,000 events that were recorded for 16 different activities. Moreover, 39 data attributes are recorded, e.g., the group responsible for the activity, the results of t…
文件 DATA.xml 为文本内容,开头为:<metadata> <doi>doi:10.4121/uuid:915d2bfb-7e84-49ad-a286-dc35f063a460</doi> <name>Sepsis Cases - Event Log.xes.gz</name> <description>This real-life e…
文件 readme.txt 为文本内容,开头为:Sepsis Cases - Event Log =============================================================================== DOI: doi:10.4121/uuid:915d2bfb-7e84-49ad-a286-dc35f0…
【数据结构与技术规格】
文件数 3 个,合计 211.79 KB。DATA.xml:text/plain,7.22 KB。Sepsis Cases - Event Log.xes.gz:application/gzip,202.51 KB。readme.txt:text/plain,2.06 KB。数据集 DOI:10.4121/uuid:915d2bfb-7e84-49ad-a286-dc35f063a460。
【主题与分类】
源站学科分类:Management and Productivity、Business and Management。主题标签:Data mining、Event log、Hospital、IEEE Task Force on Process Mining、Patterns、Process mining、Systematic data processing、real life event logs、Management and Productivity、Business and Management。
【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://data.4tu.nl/articles/dataset/Sepsis_Cases_-_Event_Log/12707639
使用许可:4TU General Terms of Use(https://doi.org/10.4121/resource:terms_of_use)。
规范引用:Mannhardt, Felix (2016). Sepsis Cases - Event Log. 4TU.ResearchData. Dataset
【使用注意】
· 源站最后修改于 2023-06-07,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:Sepsis Cases - Event Log
- DOI:10.4121/uuid:915d2bfb-7e84-49ad-a286-dc35f063a460
- 发布日期:2016-12-07
- 文件数:3 个
- 文件总体积:211.79 KB
- 源站页面:https://data.4tu.nl/articles/dataset/Sepsis_Cases_-_Event_Log/12707639
命令行下载
curl -L -o "DATA.xml" "https://ndownloader.figshare.com/files/24061973"
curl -L -o "Sepsis Cases - Event Log.xes.gz" "https://ndownloader.figshare.com/files/24061976"
curl -L -o "readme.txt" "https://ndownloader.figshare.com/files/24061979"
文件清单
DATA.xml(7.22 KB)Sepsis Cases - Event Log.xes.gz(202.51 KB)readme.txt(2.06 KB)
文件总体积 211.79 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
This real-life event log contains events of sepsis cases from a hospital. Sepsis is a life threatening condition typically caused by an infection. One case represents the pathway through the hospital.
The events were recorded by the ERP (Enterprise Resource Planning) system of the hospital. There are about 1000 cases with in total 15,000 events that were recorded for 16 different activities. Moreover, 39 data attributes are recorded, e.g., the group responsible for the activity, the results of tests and information from checklists.
Events and attribute values have been anonymized. The time stamps of events have been randomized, but the time between events within a trace has not been altered.
许可
4TU General Terms of Use
引用
学术使用请引用 DOI 10.4121/uuid:915d2bfb-7e84-49ad-a286-dc35f063a460(source: https://data.4tu.nl/articles/dataset/Sepsis_Cases_-_Event_Log/12707639)。
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。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




