巴西欠发达地区心力衰竭10年趋势分析

数据集获取（Figshare）

• 源站标题：A 10-Year Trend Analysis of Heart Failure in the Less Developed Brazil
• DOI：10.6084/m9.figshare.12027552.v1
• 发布日期：2020-03-25
• 文件数：10 个
• 文件总体积：1.67 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/A_10-Year_Trend_Analysis_of_Heart_Failure_in_the_Less_Developed_Brazil/12027552

命令行下载

curl -L -o "0066-782X-abc-114-02-0222-gf01.jpg" "https://ndownloader.figshare.com/files/22100790"
curl -L -o "0066-782X-abc-114-02-0222-gf02.jpg" "https://ndownloader.figshare.com/files/22100793"
curl -L -o "0066-782X-abc-114-02-0222-gf03.jpg" "https://ndownloader.figshare.com/files/22100796"
curl -L -o "0066-782X-abc-114-02-0222-gf04.jpg" "https://ndownloader.figshare.com/files/22100799"
curl -L -o "0066-782X-abc-114-02-0222-gf05.jpg" "https://ndownloader.figshare.com/files/22100805"
curl -L -o "0066-782X-abc-114-02-0222-gf06.jpg" "https://ndownloader.figshare.com/files/22100808"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/22100811"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/22100814"

文件清单

• 0066-782X-abc-114-02-0222-gf01.jpg（218.79 KB）
• 0066-782X-abc-114-02-0222-gf02.jpg（191.14 KB）
• 0066-782X-abc-114-02-0222-gf03.jpg（389.33 KB）
• 0066-782X-abc-114-02-0222-gf04.jpg（195.80 KB）
• 0066-782X-abc-114-02-0222-gf05.jpg（440.43 KB）
• 0066-782X-abc-114-02-0222-gf06.jpg（193.70 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（13.82 KB）
• Table_3.xls（13.82 KB）
• Table_4.xls（5.63 KB）

文件总体积 1.67 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 Background: Data on heart failure (HF) epidemiology in less developed areas of Brazil are scarce. Objective: Our aim was to determine the HF morbidity and mortality in Paraiba and Brazil and its 10-year trends. Methods: A retrospective search was conducted from 2008 to 2017 using the DATASUS database and included patients ≥ 15 years old with a primary diagnosis of HF. Data on in-hospital and population morbidity and mortality were collected and stratified by year, gender and age. Pearson correlation and linear-by-linear association test for trends were calculated, with a level of significance of 5%. Results: From 2008 to 2017, HF admissions decreased 62% (p = 0.004) in Paraiba and 34% (p = 0.004) in Brazil. The in-hospital mortality rate increased in Paraiba and Brazil [65.1% (p = 0.006) and 30.1% (p = 0.003), respectively], but the absolute in-hospital mortality had a significant decrease only in Paraiba [37.5% (p = 0.013)], which was maintained after age stratification, except for groups 15-19, 60-69 and > 80 years. It was observed an increase in the hospital stay [44% (p = 0.004) in Paraiba and 12.3% (p = 0.004) in Brazil]. From 2008 to 2015, mortality rate for HF in the population decreased 10.7% (p = 0.047) in Paraiba and 7.7% (p = 0.017) in Brazil. Conclusions: Although HF mortality rate has been decreasing in Paraiba and Brazil, an increase in the in-hospital mortality rate and length of stay for HF has been observed. Hospital-based clinical studies should be performed to identify the causes for these trends of increase.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.12027552.v1（source: https://scielo.figshare.com/articles/dataset/A_10-Year_Trend_Analysis_of_Heart_Failure_in_the_Less_Developed_Brazil/12027552）。