甘特图
IMPRESS项目甘特图,展示针对LMIC手术部位感染质量改进的多中心混合方法研究阶段时间安排。

基本信息
资源简介
甘特图
【一句话概览】
本数据集是 figshare 公开的影像数据集,收录 1 个文件、合计 16.35 KB,主题涵盖 operative clinical outcomes、increased antibiotic consumption、impress project aims、identifying knowledge gaps、disproportionately higher rates,可用于医学图像分割、检测与分类模型的训练与评测,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Gantt chart.》。源站首次发布:2025-03-27。
【数据内容】
源站原始描述:Background Surgical site infections (SSIs) are a major yet preventable cause of poor post-operative clinical outcomes, prolonged ICU/hospital stay, increased antibiotic consumption and added cost of therapy. Low- and Middle-income Countries (LMICs) have disproportionately higher rates of SSIs as compared to high-income countries despite various national and international guidelines in place as multipronged, combined interventions are seldom used. The IMPRESS project aims to respond to this urgen…
【数据结构与技术规格】
文件数 1 个,合计 16.35 KB。pone.0319645.s002.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,16.35 KB。数据集 DOI:10.1371/journal.pone.0319645.s002。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Cancer、Science Policy、Infectious Diseases、Virology。主题标签:operative clinical outcomes、increased antibiotic consumption、impress project aims、identifying knowledge gaps、disproportionately higher rates、center longitudinal mixed、baseline data collection、selected multipronged interventions、various phases、urgent need。
【适用方向】
影像类数据可用于医学图像分析模型(检测、分割、分类)的训练与评测,也可用于标注质量与成像参数相关性的研究。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Gantt_chart_/28679692
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Rohilla, Rachna; Gupta, Mayank; Anish, Thekkumkara Surendran; Cherian, Jerin Jose; Singh, Mahendra Pratap; Kakkar, Ashish Kumar; et al. (2025). Gantt chart.. PLOS ONE. 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:Gantt chart.
- DOI:10.1371/journal.pone.0319645.s002
- 发布日期:2025-03-27
- 文件数:1 个
- 文件总体积:16.35 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Gantt_chart_/28679692
命令行下载
curl -L -o "pone.0319645.s002.xlsx" "https://ndownloader.figshare.com/files/53269189"
文件清单
pone.0319645.s002.xlsx(16.35 KB)
文件总体积 16.35 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
Background
Surgical site infections (SSIs) are a major yet preventable cause of poor post-operative clinical outcomes, prolonged ICU/hospital stay, increased antibiotic consumption and added cost of therapy. Low- and Middle-income Countries (LMICs) have disproportionately higher rates of SSIs as compared to high-income countries despite various national and international guidelines in place as multipronged, combined interventions are seldom used. The IMPRESS project aims to respond to this urgent need to identify and evaluate the quality improvement measures contextualized to the logistic constraints of LMIC settings such as India.
Methods and analysis
We adopt a multi-center longitudinal mixed-methods study to be conducted over a period of 2 years in various phases. Phase 1 will be formative research with the objective of identifying knowledge gaps and baseline data collection. Phase II will involve co-development of multipronged interventions addressing identified barriers. Phase III will focus on the deployment of the selected multipronged interventions. Phase IV will be the post-intervention phase to evaluate the impact of the interventions. The study has been prospectively registered with CTRI and is supported by a funding grant from the Indian Council of Medical Research, New Delhi. The Institutional Ethics Committee approval has been obtained from all the sites involved in the study.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0319645.s002(source: https://plos.figshare.com/articles/dataset/Gantt_chart_/28679692)。
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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