巴西心脏疾病经济负担数据集

数据集获取（Figshare）

• 源站标题：The Economic Burden of Heart Conditions in Brazil
• DOI：10.6084/m9.figshare.6991811.v1
• 发布日期：2018-08-22
• 文件数：8 个
• 文件总体积：262.49 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/The_Economic_Burden_of_Heart_Conditions_in_Brazil/6991811

命令行下载

curl -L -o "0066-782X-abc-111-01-0029-gf01.jpg" "https://ndownloader.figshare.com/files/12827129"
curl -L -o "0066-782X-abc-111-01-0029-gf02.jpg" "https://ndownloader.figshare.com/files/12827132"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/12827141"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/12827150"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/12827156"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/12827162"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/12827165"
curl -L -o "Table_6.xls" "https://ndownloader.figshare.com/files/12827168"

文件清单

• 0066-782X-abc-111-01-0029-gf01.jpg（151.01 KB）
• 0066-782X-abc-111-01-0029-gf02.jpg（77.69 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（5.63 KB）
• Table_5.xls（5.63 KB）
• Table_6.xls（5.63 KB）

文件总体积 262.49 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 Background: Heart conditions impose physical, social, financial and health-related quality of life limitations on individuals in Brazil. Objectives: This study assessed the economic burden of four main heart conditions in Brazil: hypertension, heart failure, myocardial infarction, and atrial fibrillation. In addition, the cost-effectiveness of telemedicine and structured telephone support for the management of heart failure was assessed. Methods: A standard cost of illness framework was used to assess the costs associated with the four conditions in 2015. The analysis assessed the prevalence of the four conditions and, in the case of myocardial infarction, also its incidence. It further assessed the conditions’ associated expenditures on healthcare treatment, productivity losses from reduced employment, costs of providing formal and informal care, and lost wellbeing. The analysis was informed by a targeted literature review, data scan and modelling. All inputs and methods were validated by consulting 15 clinicians and other stakeholders in Brazil. The cost-effectiveness analysis was based on a meta-analysis and economic evaluation of post-discharge programs in patients with heart failure, assessed from the perspective of the Brazilian Unified Healthcare System (Sistema Unico de Saude). Results: Myocardial infarction imposes the greatest financial cost (22.4 billion reais/6.9 billion USD), followed by heart failure (22.1 billion reais/6.8 billion USD), hypertension (8 billion reais/2.5 billion USD) and, finally, atrial fibrillation (3.9 billion reais/1.2 billion USD). Telemedicine and structured telephone support are cost-effective interventions for achieving improvements in the management of heart failure. Conclusions: Heart conditions impose substantial loss of wellbeing and financial costs in Brazil and should be a public health priority.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.6991811.v1（source: https://scielo.figshare.com/articles/dataset/The_Economic_Burden_of_Heart_Conditions_in_Brazil/6991811）。