院前脓毒症培训数据（去标识化）
2016年院前脓毒症培训评估的去识别化数据，包含参与者知识及病例场景得分。
基本信息
资源简介
院前脓毒症培训数据（去标识化）
【数据集背景】
本数据集源站标题为《Pre-Hospital Sepsis Training Data (De-Identified)》。源站首次发布：2025-10-03。
【数据内容】
源站原始描述：This dataset contains de-identified results from a 2016 study evaluating the impact of pre-hospital sepsis training among emergency medical services (EMS) personnel. It includes participant-level scores from knowledge assessments and case-based scenarios, with consistent anonymous Participant IDs across all sheets. The dataset captures section-specific scores (sepsis knowledge, protocol knowledge, and case-based questions), total scores, and performance differences by training exposure. The data…
文件 README (1).txt 为文本内容，开头为：README: Pre-Hospital Sepsis Training Data (De-Identified) Authors Krisha Desai, MD Karen Sayad, MD Ingrid Bloom, MD Arthur H. Yancey II, MD, MPH Jonathan E. …
【数据结构与技术规格】
文件数 2 个，合计 66.77 KB。Pre-Hospital Sepsis Training Data_De-Identified.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，64.05 KB。README (1).txt：text/plain，2.73 KB。数据集 DOI：10.6084/m9.figshare.30269401.v2。
【主题与分类】
源站学科分类：Intensive care、Emergency medicine。主题标签：sepsis assessment、prehospital care、EMS、training dataset。
【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://figshare.com/articles/dataset/Pre-Hospital_Sepsis_Training_Data_De-Identified_/30269401
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Desai, Krisha; Sayad, Karen; Bloom, Ingrid; Yancey, Arthur; Sevransky, Jonathan; Polito, Carmen (2025). Pre-Hospital Sepsis Training Data (De-Identified). figshare. Dataset
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：Pre-Hospital Sepsis Training Data (De-Identified)
- DOI：10.6084/m9.figshare.30269401.v2
- 发布日期：2025-10-03
- 文件数：2 个
- 文件总体积：66.77 KB
- 源站页面：https://figshare.com/articles/dataset/Pre-Hospital_Sepsis_Training_Data_De-Identified_/30269401
命令行下载
curl -L -o "Pre-Hospital Sepsis Training Data_De-Identified.xlsx" "https://ndownloader.figshare.com/files/58468426"
curl -L -o "README (1).txt" "https://ndownloader.figshare.com/files/58468705"
文件清单
Pre-Hospital Sepsis Training Data_De-Identified.xlsx（64.05 KB）README (1).txt（2.73 KB）
文件总体积 66.77 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
This dataset contains de-identified results from a 2016 study evaluating the impact of pre-hospital sepsis training among emergency medical services (EMS) personnel. It includes participant-level scores from knowledge assessments and case-based scenarios, with consistent anonymous Participant IDs across all sheets. The dataset captures section-specific scores (sepsis knowledge, protocol knowledge, and case-based questions), total scores, and performance differences by training exposure.
The data can be used to explore the effectiveness of targeted EMS training on sepsis recognition and management, to reproduce or extend prior analyses, and as an educational resource for designing or evaluating training interventions in emergency care. All identifying information has been removed to protect participant confidentiality.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.30269401.v2（source: https://figshare.com/articles/dataset/Pre-Hospital_Sepsis_Training_Data_De-Identified_/30269401）。
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。
