Name: 冠状动脉疾病诊断性别时间差异数据集（表6）
Creator: 千方医数集科研发现管道
License: CC BY 4.0

基本信息

模态

表格

大小

0.000004594 GB

任务类型

分类

许可

CC BY 4.0

创建/更新时间

2026-10-08

版本

v1

资源简介

冠状动脉疾病诊断性别时间差异数据集（表6）

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集，收录 1 个文件、合计 4.59 KB，主题涵盖 cardiac catheterization、coronary artery bypass grafting (CABG)、gender-based discrepancies、Coronary Artery Disease、big data，可用于统计建模、特征工程与队列分析，CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table_6_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.CSV》。配套论文《A database for using machine learning and data mining techniques for coronary artery disease diagnosis》发表于 Scientific Data（2019），DOI：10.1038/s41597-019-0206-3。源站首次发布：2022-11-24。

【数据内容】

源站原始描述：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…

中文译文（机器翻译，仅供快速理解，请以原文为准）：背景女性冠状动脉疾病（CAD）的预后仍比男性差。这种差异的原因尚未完全阐明。本研究的主要目的是发现CAD诊断和治疗中的性别差异。方法我们使用数据分析方法，对加州大学旧金山分校医学中心8年间治疗的960，129例患者中的约32，000例CAD患者进行了风险分层。我们实施了一个多维数据分析框架，追踪患者从入院到治疗的全过程，以构建事件路径。事件包括任何药物治疗以及无创和有创操作。我们计算了相似路径集合中各事件之间的时间间隔，然后计算了治疗各步骤的平均等待时间。最后，我们应用统计分析来确定男性和女性在诊断与治疗步骤之间时间上的差异。结果女性从首次入院到诊断性心导管检查的时间与男性存在显著差异（p值 = 0.000119），而从诊断性心导管检查到冠状动脉旁路移植术的时间差异无统计学意义。结论与男性相比，女性从首次提示CAD的医师就诊到首次诊断性心导管检查之间的间隔显著更长。避免这种诊断延迟可能为高危患者提供更及时的治疗和更好的预后。最后，我们讨论了该研究对改善患者护理、实现早期发现以及管理有CAD快速进展风险的个体患者的影响。

主表 Table_6_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.CSV 含 5 列、样本前 40 行结构完整。

【数据结构与技术规格】

文件数 1 个，合计 4.59 KB。Table_6_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.CSV：text/plain，4.59 KB。数据集 DOI：10.3389/fcvm.2022.969325.s006。

【主题与分类】

源站学科分类：Cardiology (incl. Cardiovascular Diseases)、Cardiology、Cardiorespiratory Medicine and Haematology not elsewhere classified。主题标签：cardiac catheterization、coronary artery bypass grafting (CABG)、gender-based discrepancies、Coronary Artery Disease、big data、electronic medical record。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面：https://frontiersin.figshare.com/articles/dataset/Table_6_Gender-based_time_discrepancy_in_diagnosis_of_coronary_artery_disease_based_on_data_analytics_of_electronic_medical_records_CSV/21615651

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Panahiazar, Maryam; Bishara, Andrew M.; Chern, Yorick; Alizadehsani, Roohallah; Islam, Sheikh M. Shariful; Hadley, Dexter; et al. (2022). Table_6_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.CSV. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-12，引用时请注意版本时效。

原始链接

https://figshare.com/articles/dataset/Table_6_Gender-based_time_discrepancy_in_diagnosis_of_coronary_artery_disease_based_on_data_analytics_of_electronic_medical_records_CSV/21615651

访问原始数据

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⚡️ 需要原始数据或标注支持？联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载，适合需要跟踪下载记录和使用 API 的用户。

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公开下载

无需注册即可直接获取公开样本或文档，适合快速预览和评估数据集质量。

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公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务（收技术服务费，非数据销售）

暂未开放

当前数据集主要来源为 Kaggle 公开托管，完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取（Figshare）

源站标题：Table_6_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.CSV
DOI：10.3389/fcvm.2022.969325.s006
发布日期：2022-11-24
文件数：1 个
文件总体积：4.59 KB
源站页面：https://frontiersin.figshare.com/articles/dataset/Table_6_Gender-based_time_discrepancy_in_diagnosis_of_coronary_artery_disease_based_on_data_analytics_of_electronic_medical_records_CSV/21615651

命令行下载

curl -L -o "Table_6_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.CSV" "https://ndownloader.figshare.com/files/38309019"

文件清单

Table_6_Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.CSV（4.59 KB）

文件总体积 4.59 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.