基于电子病历的冠状动脉疾病诊断性别时间差异表1

数据集获取（Figshare）

• 源站标题：Table_1_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.DOCX
• DOI：10.3389/fcvm.2022.969325.s001
• 发布日期：2022-11-24
• 文件数：1 个
• 文件总体积：18.50 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Gender-based_time_discrepancy_in_diagnosis_of_coronary_artery_disease_based_on_data_analytics_of_electronic_medical_records_DOCX/21615630

命令行下载

curl -L -o "Table_1_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.DOCX" "https://ndownloader.figshare.com/files/38308998"

文件清单

• Table_1_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.DOCX（18.50 KB）

文件总体积 18.50 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

BackgroundWomen continue to have worse Coronary Artery Disease (CAD) outcomes than men. The causes of this discrepancy have yet to be fully elucidated. The main objective of this study is to detect gender discrepancies in the diagnosis and treatment of CAD.
MethodsWe used data analytics to risk stratify ~32,000 patients with CAD of the total 960,129 patients treated at the UCSF Medical Center over an 8 year period. We implemented a multidimensional data analytics framework to trace patients from admission through treatment to create a path of events. Events are any medications or noninvasive and invasive procedures. The time between events for a similar set of paths was calculated. Then, the average waiting time for each step of the treatment was calculated. Finally, we applied statistical analysis to determine differences in time between diagnosis and treatment steps for men and women.
ResultsThere is a significant time difference from the first time of admission to diagnostic Cardiac Catheterization between genders (p-value = 0.000119), while the time difference from diagnostic Cardiac Catheterization to CABG is not statistically significant.
ConclusionWomen had a significantly longer interval between their first physician encounter indicative of CAD and their first diagnostic cardiac catheterization compared to men. Avoiding this delay in diagnosis may provide more timely treatment and a better outcome for patients at risk. Finally, we conclude by discussing the impact of the study on improving patient care with early detection and managing individual patients at risk of rapid progression of CAD.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcvm.2022.969325.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Gender-based_time_discrepancy_in_diagnosis_of_coronary_artery_disease_based_on_data_analytics_of_electronic_medical_records_DOCX/21615630）。