美国恰加斯病医疗保健障碍多维框架数据集

美国恰加斯病患者诊断和治疗障碍的多维框架数据集,包含34个障碍及其四个维度的分类。

Figshare
2019-09-26 更新
浏览 16
文本health concernpeopleliterature reviewhealthcare systemshealth responselist 34 barriersUnited Stateshealth systemalternative frameworksaccessing diagnosisquality healthcareetiological treatment
Proposed multidimensional framework for understanding Chagas disease healthcare barriers in the United States

基本信息

模态
文本
大小
0.000123381 GB
许可
CC BY 4.0
创建/更新时间
2019-09-26
版本
v1

资源简介

美国恰加斯病医疗保健障碍多维框架数据集

【数据集背景】

本数据集源站标题为《Proposed multidimensional framework for understanding Chagas disease healthcare barriers in the United States》。配套论文《Proposed multidimensional framework for understanding Chagas disease healthcare barriers in the United States》发表于 PLOS Neglected Tropical Diseases(2019),DOI:10.1371/journal.pntd.0007447。源站首次发布:2019-09-26。

【数据内容】

源站原始描述:Background Chagas disease (CD) affects over 300,000 people in the United States, but fewer than 1% have been diagnosed and less than 0.3% have received etiological treatment. This is a significant public health concern because untreated CD can produce fatal complications. What factors prevent people with CD from accessing diagnosis and treatment in a nation with one of the world’s most advanced healthcare systems? Methodology/Principal findings This analysis of barriers to diagnosis and treatmen…

【数据结构与技术规格】

文件数 2 个,合计 123.38 KB。pntd.0007447.s001.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,106.31 KB。pntd.0007447.s002.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,17.07 KB。数据集 DOI:10.1371/journal.pntd.0007447。

【主题与分类】

源站学科分类:Cell Biology、Biotechnology、Cancer、Science Policy、Mental Health、Infectious Diseases。主题标签:health concern、people、literature review、healthcare systems、health response、list 34 barriers、understanding Chagas disease healthcare barriers、United States、health system、alternative frameworks。

【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://plos.figshare.com/articles/dataset/Proposed_multidimensional_framework_for_understanding_Chagas_disease_healthcare_barriers_in_the_United_States/9908219

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

规范引用:Forsyth, Colin; Meymandi, Sheba; Moss, Ilan; Cone, Jason; Cohen, Rachel; Batista, Carolina (2019). Proposed multidimensional framework for understanding Chagas disease healthcare barriers in the United States. PLOS Neglected Tropical Diseases. Dataset

【使用注意】

· 源站最后修改于 2023-06-01,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。

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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。

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 "pntd.0007447.s001.xlsx" "https://ndownloader.figshare.com/files/17814095"
curl -L -o "pntd.0007447.s002.docx" "https://ndownloader.figshare.com/files/17814098"

文件清单

  • pntd.0007447.s001.xlsx(106.31 KB)
  • pntd.0007447.s002.docx(17.07 KB)

文件总体积 123.38 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
Chagas disease (CD) affects over 300,000 people in the United States, but fewer than 1% have been diagnosed and less than 0.3% have received etiological treatment. This is a significant public health concern because untreated CD can produce fatal complications. What factors prevent people with CD from accessing diagnosis and treatment in a nation with one of the world’s most advanced healthcare systems?
Methodology/Principal findings
This analysis of barriers to diagnosis and treatment of CD in the US reflects the opinions of the authors more than a comprehensive discussion of all the available evidence. To enrich our description of barriers, we have conducted an exploratory literature review and cited the experience of the main US clinic providing treatment for CD. We list 34 barriers, which we group into four overlapping dimensions: systemic, comprising gaps in the public health system; structural, originating from political and economic inequalities; clinical, including toxicity of medications and diagnostic challenges; and psychosocial, encompassing fears and stigma.
Conclusions
We propose this multidimensional framework both to explain the persistently low numbers of people with CD who are tested and treated and as a potential basis for organizing a public health response, but we encourage others to improve on our approach or develop alternative frameworks. We further argue that expanding access to diagnosis and treatment of CD in the US means asserting the rights of vulnerable populations to obtain timely, quality healthcare.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pntd.0007447(source: https://plos.figshare.com/articles/dataset/Proposed_multidimensional_framework_for_understanding_Chagas_disease_healthcare_barriers_in_the_United_States/9908219)。

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。

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