心肌梗死临床与教育因素与延迟到院相关性数据集

数据集获取（Figshare）

• 源站标题：Correlation between Clinical and Educational Factors and Delayed Hospital Arrival in Myocardial Infarction
• DOI：10.6084/m9.figshare.6272612.v1
• 发布日期：2018-05-16
• 文件数：3 个
• 文件总体积：16.90 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Correlation_between_Clinical_and_Educational_Factors_and_Delayed_Hospital_Arrival_in_Myocardial_Infarction/6272612

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/11461799"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/11461808"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/11461823"

文件清单

• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）

文件总体积 16.90 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: Acute myocardial infarction is one of the main causes of morbidity and mortality in the world, and one of the factors with the greatest prognostic impact is early specialist care, but there are still many factors that delay patient’‘s arrival at the hospital. Objective: To correlate social, educational, cognitive and clinical factors with time to hospital arrival after the onset of acute myocardial infarction’‘s first symptoms. Methods: Time interval to search for medical care was measured by patient’‘s report of the onset of infarction’‘s first symptoms and hospital admission verified through electronic medical data of the emergency service. The correlation between delta-T and other variables was performed through Kendall’‘s correlation. Values of p < 0.05 were considered statistically significant. Results: There was no correlation between delta-T and scholarity, or between delta - T and Mini Mental State Examination performance, as well as no association between the presence of hypertension, diabetes mellitus, dyslipidemia, family history, sedentary lifestyle or smoking with arrival time at the hospital. Comparisons between delta-T and marital status were also not statistically significant. Transfer from another health service and city of origin were the most determinant delay factors in our population’'s arrival at the hospital. Conclusion: The present study suggests that, in our population, educational, social and cognitive factors are not directly related to the delay in arriving at the hospital.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.6272612.v1（source: https://scielo.figshare.com/articles/dataset/Correlation_between_Clinical_and_Educational_Factors_and_Delayed_Hospital_Arrival_in_Myocardial_Infarction/6272612）。