脆弱性概念在医疗相关感染中的应用

讨论脆弱性概念在医疗相关感染预防与控制中的应用潜力的理论研究,提出分析框架。

SciELO journalsSciELO journals
DataCite Commons
2020-08-27 更新
浏览 23
文本Hospital-Acquired InfectionVulnerabilityNursingInfectious DiseaseContagious Disease
The concept of vulnerability applied to Healthcare-associated Infections

基本信息

模态
文本
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2020-08-27
版本
v1

资源简介

脆弱性概念在医疗相关感染中的应用

【一句话概览】

本数据集是 figshare 公开的文本数据集,收录 1 个文件、合计 5.63 KB,主题涵盖 Hospital-Acquired Infection、Vulnerability、Nursing、Infectious Disease、Contagious Disease,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。

【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。

官方服务

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⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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。

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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 "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)。

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