在血液肿瘤门诊中应对COVID-19风险的管理:经验报告

关于血液肿瘤门诊采用管理工具应对COVID-19风险的经验报告,包含根因分析和行动规划。

Figshare
2021-05-01 更新
浏览 18
文本CoronavirusMedical OncologyHealth Services AdministrationOccupation HealthPandemicsCOVID-19
Management of coping with the risks of COVID-19 in an onco-hematological outpatient clinic: an experience report

基本信息

模态
文本
大小
0.059208322 GB
许可
CC BY 4.0
创建/更新时间
2021-05-01
版本
v1

资源简介

在血液肿瘤门诊中应对COVID-19风险的管理:经验报告

【数据集背景】

本数据集源站标题为《Management of coping with the risks of COVID-19 in an onco-hematological outpatient clinic: an experience report》。配套论文《Management of coping with the risks of COVID-19 in an onco-hematological outpatient clinic: an experience report》发表于 Revista Brasileira de Enfermagem(2021),DOI:10.1590/0034-7167-2020-1080。源站首次发布:2022-05-30。

【数据内容】

源站原始描述:ABSTRACT Objective: to describe the experience of a private outpatient network for hematology and oncology treatment in the adoption of management tools to face the risk of contamination by SARS-CoV-2. Method: an experience report on the use of a root cause analysis method to identify potential risks of contamination by COVID-19 among patients and employees. Through the risks identified through the Ishikawa Diagram, we built an action plan, linked to the 5W2H tool, for planning and decision-maki…

【数据结构与技术规格】

文件数 6 个,合计 59.21 MB。数据集 DOI:10.6084/m9.figshare.19928482.v1。

【主题与分类】

源站学科分类:Nursing not elsewhere classified。主题标签:Coronavirus、Medical Oncology、Health Services Administration、Occupation Health、Pandemics。

【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/Management_of_coping_with_the_risks_of_COVID-19_in_an_onco-hematological_outpatient_clinic_an_experience_report/19928482

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

规范引用:Monteiro, Debora Esteves; Fialho, Isabelle Cristine Tavares Silva; Passos, Patrícia Martins; Fuly, Patrícia dos Santos Claro (2021). Management of coping with the risks of COVID-19 in an onco-hematological outpatient clinic: an experience report. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

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 "4a2e5ece44f8ce9332c45bd2b99cd34593bf5c82.tif" "https://ndownloader.figshare.com/files/35437291"
curl -L -o "d98b340e980724bcf001da416764a5c2b727c1e9.png" "https://ndownloader.figshare.com/files/35437294"
curl -L -o "9ccf10cc71a7a5efc847d3e0981ee91eb89df6f1.jpg" "https://ndownloader.figshare.com/files/35437297"
curl -L -o "a3739ef2a3a26549f6c1fc18c7b8a75f5e626c57.tif" "https://ndownloader.figshare.com/files/35437300"
curl -L -o "0d9bdfae906a927f5cf74d61a4e195b1f8385ca8.png" "https://ndownloader.figshare.com/files/35437303"
curl -L -o "c797dc364072f89a45c49edaed745a70c1b7ef8a.jpg" "https://ndownloader.figshare.com/files/35437306"

文件清单

  • 4a2e5ece44f8ce9332c45bd2b99cd34593bf5c82.tif(28.69 MB)
  • d98b340e980724bcf001da416764a5c2b727c1e9.png(948.11 KB)
  • 9ccf10cc71a7a5efc847d3e0981ee91eb89df6f1.jpg(4.50 KB)
  • a3739ef2a3a26549f6c1fc18c7b8a75f5e626c57.tif(28.43 MB)
  • 0d9bdfae906a927f5cf74d61a4e195b1f8385ca8.png(1.12 MB)
  • c797dc364072f89a45c49edaed745a70c1b7ef8a.jpg(4.57 KB)

文件总体积 59.21 MB(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 describe the experience of a private outpatient network for hematology and oncology treatment in the adoption of management tools to face the risk of contamination by SARS-CoV-2. Method: an experience report on the use of a root cause analysis method to identify potential risks of contamination by COVID-19 among patients and employees. Through the risks identified through the Ishikawa Diagram, we built an action plan, linked to the 5W2H tool, for planning and decision-making implemented. Results: the number of attendances in person and people circulating in the units was reduced, protective distance measures and new protection barriers were fundamental to control the risks of spreading COVID-19 in patients and employees. Final considerations: the management tools served as a valuable tool in the construction of measures, making the measures in question more clearly and applicable.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.19928482.v1(source: https://scielo.figshare.com/articles/dataset/Management_of_coping_with_the_risks_of_COVID-19_in_an_onco-hematological_outpatient_clinic_an_experience_report/19928482)。

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