地理位置对塞尔希培州STEMI患者再灌注治疗可及性和死亡率的影响：VICTIM注册研究

数据集获取（Figshare）

• 源站标题：Influence of Geographical Location on Access to Reperfusion Therapies and Mortality of Patients with STEMI in Sergipe: VICTIM Register
• DOI：10.6084/m9.figshare.19901143.v1
• 发布日期：2022-05-27
• 文件数：16 个
• 文件总体积：50.11 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/Influence_of_Geographical_Location_on_Access_to_Reperfusion_Therapies_and_Mortality_of_Patients_with_STEMI_in_Sergipe_VICTIM_Register/19901143

命令行下载

curl -L -o "526bd5066e934da6912018279d1dac08801b6c3c.tif" "https://ndownloader.figshare.com/files/35329117"
curl -L -o "f71068c98c41e84b9322fc4b367a0736b568fd5f.png" "https://ndownloader.figshare.com/files/35329120"
curl -L -o "60c566ec83aa9c6e0b588ddbd9033acf55c93fd1.jpg" "https://ndownloader.figshare.com/files/35329123"
curl -L -o "77b016fb20b51179396bb32a1aa5cca2d8e2650f.tif" "https://ndownloader.figshare.com/files/35329126"
curl -L -o "c386cc2e590ffeef3e86674186d806c6d17495da.png" "https://ndownloader.figshare.com/files/35329129"
curl -L -o "d9ca2810454579037c23433d16f2efbd00f70fd1.jpg" "https://ndownloader.figshare.com/files/35329132"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35329138"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/35329141"

文件清单

• 526bd5066e934da6912018279d1dac08801b6c3c.tif（9.05 MB）
• f71068c98c41e84b9322fc4b367a0736b568fd5f.png（937.99 KB）
• 60c566ec83aa9c6e0b588ddbd9033acf55c93fd1.jpg（5.52 KB）
• 77b016fb20b51179396bb32a1aa5cca2d8e2650f.tif（38.10 MB）
• c386cc2e590ffeef3e86674186d806c6d17495da.png（1.92 MB）
• d9ca2810454579037c23433d16f2efbd00f70fd1.jpg（5.35 KB）
• Table_1.xls（9.73 KB）
• Table_2.xls（9.73 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（9.73 KB）
• Table_5.xls（5.63 KB）
• Table_6.xls（9.73 KB）
• Table_7.xls（9.73 KB）
• Table_8.xls（5.63 KB）
• Table_9.xls（9.73 KB）
• Table_10.xls（5.63 KB）

文件总体积 50.11 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 The concentration of high-complexity services in Aracaju, Sergipe can impose certain disparity in the quality of care for the patients with ST-segment elevation acute myocardial infarction (STEMI) (STEMI) who receive care from Brazil’s Unified Health System (SUS, acronym in Portuguese) and whose symptoms started in other health regions of the state. Objective To evaluate disparities in access to reperfusion therapies and 30-day mortality, among patients with STEMI, who were users of SUS, in each of the 7 health regions of Sergipe. Methods A total of 844 patients with STEMI in the period from 2014 to 2018, assisted by the only hospital with the capacity to offer primary percutaneous coronary intervention (PPCI) to SUS users in the state of Sergipe, were evaluated. The patients were divided into 7 groups according to the location at the onset of symptoms, following the existing division of health regions in the state. For comparison between groups, a significant difference was considered when p

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.19901143.v1（source: https://scielo.figshare.com/articles/dataset/Influence_of_Geographical_Location_on_Access_to_Reperfusion_Therapies_and_Mortality_of_Patients_with_STEMI_in_Sergipe_VICTIM_Register/19901143）。