巴西东南部三市老年人私人重症监护住院费用数据集

数据集获取（Figshare）

• 源站标题：Expenses with elderly private intensive care hospitalization in three municipalities of southeast of Brazil: São Paulo, Rio de Janeiro and Belo Horizonte
• DOI：10.6084/m9.figshare.7518602.v1
• 发布日期：2018-12-26
• 文件数：5 个
• 文件总体积：28.16 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Expenses_with_elderly_private_intensive_care_hospitalization_in_three_municipalities_of_southeast_of_Brazil_S_o_Paulo_Rio_de_Janeiro_and_Belo_Horizonte/7518602

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/13979663"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/13979666"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/13979669"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/13979672"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/13979675"

文件清单

• 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）

文件总体积 28.16 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 In an exploratory nature, this study aimed to evaluate the variability of the financial sacrifice (expenditure) of a nationwide health provider in admissions of elderly patients with pneumonia, coronary heart disease and stroke in the Intensive Care Unit Type III and Coronary Units of private providers in Belo Horizonte, Rio de Janeiro and São Paulo. Secondary data from the health insurance provider database were collected and analyzed using estimates, such as mean, proportion and confidence interval. Pneumonia had the highest expenditure (53.70%), coronary heart disease the lowest (10.78%); and stroke was around (35.52%). Among the capitals, Rio de Janeiro has spent the highest percentage of financial resources to assist beneficiaries with pneumonia (68.8%). If the current spending is maintained, the population aging will be a major challenge in health care management for the decades to come.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7518602.v1（source: https://scielo.figshare.com/articles/dataset/Expenses_with_elderly_private_intensive_care_hospitalization_in_three_municipalities_of_southeast_of_Brazil_S_o_Paulo_Rio_de_Janeiro_and_Belo_Horizonte/7518602）。