腹部子宫切除术手术部位感染减少数据集:监测与反馈的影响

基于监测与反馈流程减少腹部子宫切除术后手术部位感染的质量改进项目数据集。

Karki, Shweta; Rose, SuzanneKarki, Shweta; Rose, Suzanne
Figshare
2025-10-26 更新
浏览 34
表格分类ABDOMINAL HYSTERECTOMY
Dataset for Reduction in Abdominal Hysterectomy Surgical Site Infections: The Impact of Monitoring and Feedback.

基本信息

模态
表格
大小
0.000113543 GB
任务类型
分类
许可
CC BY 4.0
创建/更新时间
2025-10-26
版本
v1

资源简介

腹部子宫切除术手术部位感染减少数据集:监测与反馈的影响

【数据集背景】

本数据集源站标题为《Dataset for Reduction in Abdominal Hysterectomy Surgical Site Infections: The Impact of Monitoring and Feedback.》。源站首次发布:2025-10-26。

【数据内容】

源站原始描述:This quality improvement project focuses on the sustained reduction of Surgical Site Infections (SSIs) following abdominal hysterectomies. The primary objective was to decrease the SSI rate by implementing a novel, multi-faceted, and multidisciplinary monitoring and feedback process. A secondary objective was to systematically document the key steps and interventions undertaken to ensure the long-term sustainability of the reduced surgical site infection rate, thereby providing a replicable mode…

主表 LineListing_AllProcedures 2018-6-2025 Deidentified.csv 含 11 列、样本前 1280 行结构完整。

【数据结构与技术规格】

文件数 4 个,合计 113.54 KB。Copy of GYN chart audit compilation graph.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,31.54 KB。LineListing_AllProcedures 2018-6-2025 Deidentified.csv:text/csv,57.14 KB。SSI and SIR data.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,14.04 KB。数据集 DOI:10.6084/m9.figshare.30053266.v1。

【主题与分类】

源站学科分类:Preventative health care。主题标签:ABDOMINAL HYSTERECTOMY。

【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。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/Dataset_for_Reduction_in_Abdominal_Hysterectomy_Surgical_Site_Infections_The_Impact_of_Monitoring_and_Feedback_/30053266

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Karki, Shweta; Rose, Suzanne (2025). Dataset for Reduction in Abdominal Hysterectomy Surgical Site Infections: The Impact of Monitoring and Feedback.. figshare. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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)

命令行下载

curl -L -o "Copy of GYN chart audit compilation graph.xlsx" "https://ndownloader.figshare.com/files/57671392"
curl -L -o "LineListing_AllProcedures 2018-6-2025 Deidentified.csv" "https://ndownloader.figshare.com/files/57671395"
curl -L -o "SSI and SIR data.xlsx" "https://ndownloader.figshare.com/files/57671398"
curl -L -o "SSI Data.xlsx" "https://ndownloader.figshare.com/files/57671401"

文件清单

  • Copy of GYN chart audit compilation graph.xlsx(31.54 KB)
  • LineListing_AllProcedures 2018-6-2025 Deidentified.csv(57.14 KB)
  • SSI and SIR data.xlsx(14.04 KB)
  • SSI Data.xlsx(10.82 KB)

文件总体积 113.54 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 quality improvement project focuses on the sustained reduction of Surgical Site Infections (SSIs) following abdominal hysterectomies. The primary objective was to decrease the SSI rate by implementing a novel, multi-faceted, and multidisciplinary monitoring and feedback process. A secondary objective was to systematically document the key steps and interventions undertaken to ensure the long-term sustainability of the reduced surgical site infection rate, thereby providing a replicable model for both our and other healthcare institutions. By describing the impact of a dedicated monitoring and feedback system, this quality improvement project aims to contribute to the body of knowledge on effective and sustainable SSI prevention strategies in a teaching community hospital setting.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.30053266.v1(source: https://figshare.com/articles/dataset/Dataset_for_Reduction_in_Abdominal_Hysterectomy_Surgical_Site_Infections_The_Impact_of_Monitoring_and_Feedback_/30053266)。

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。

获取专属数据定制方案