脆弱性概念应用于医疗相关感染
探讨脆弱性概念在医疗相关感染(HAIs)防控中的应用潜力的理论研究数据集,包含分析框架。

基本信息
资源简介
脆弱性概念应用于医疗相关感染
【数据集背景】
本数据集源站标题为《The concept of vulnerability applied to Healthcare-associated Infections》。配套论文《The concept of vulnerability applied to Healthcare-associated Infections》发表于 Revista Brasileira de Enfermagem(2019),DOI:10.1590/0034-7167-2017-0584。源站首次发布:2019-03-27。
【数据内容】
源站原始描述:ABSTRACT Objective: To discuss the potentialities of using the concept of vulnerability to support measures for preventing and controlling healthcare-associated infections (HAIs). Methods: This theoretical study was conducted in steps: 1) presentation of markers that frame the concept of vulnerability; 2) presentation of the characteristics of the health events to which the concept of vulnerability is intended to be applied; 3) identification of research gaps that could be potentially filled by…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。数据集 DOI:10.6084/m9.figshare.7898636.v1。
【主题与分类】
源站学科分类:Nursing not elsewhere classified。主题标签:Hospital-Acquired Infection、Vulnerability、Nursing、Infectious Disease、Contagious Disease。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://scielo.figshare.com/articles/dataset/The_concept_of_vulnerability_applied_to_Healthcare-associated_Infections/7898636
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Padoveze, Maria Clara; Juskevicius, Luize Fábrega; Santos, Talita Raquel dos; Nichiata, Lúcia Izumi; Ciosak, Suely Itsuko; Bertolozzi, Maria Rita (2019). The concept of vulnerability applied to Healthcare-associated Infections. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-06-03,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:The concept of vulnerability applied to Healthcare-associated Infections
- DOI:10.6084/m9.figshare.7898636.v1
- 发布日期:2019-03-27
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/The_concept_of_vulnerability_applied_to_Healthcare-associated_Infections/7898636
命令行下载
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/14709413"
文件清单
Table_1.xls(5.63 KB)
文件总体积 5.63 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
ABSTRACT Objective: To discuss the potentialities of using the concept of vulnerability to support measures for preventing and controlling healthcare-associated infections (HAIs). Methods: This theoretical study was conducted in steps: 1) presentation of markers that frame the concept of vulnerability; 2) presentation of the characteristics of the health events to which the concept of vulnerability is intended to be applied; 3) identification of research gaps that could be potentially filled by using the concept of vulnerability; 4) identification of the potentialities of using the concept of vulnerability to deal with HAIs. Results: Proposal of a framework for analyzing HAIs from a vulnerability perspective, including the individual and collective dimensions. Conclusion: Using the concept of vulnerability to study and deal with HAIs favors a new approach to an old problem, unlike the dominant studies that highlight the individual aspects of the practices in healthcare services.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.7898636.v1(source: https://scielo.figshare.com/articles/dataset/The_concept_of_vulnerability_applied_to_Healthcare-associated_Infections/7898636)。
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。




