女性冠状动脉疾病:了解性别相关差异
女性冠状动脉疾病性别差异数据集,涵盖流行病学、诊断、治疗及社会文化因素,用于研究女性心脏健康不平等。

基本信息
资源简介
女性冠状动脉疾病:了解性别相关差异
【数据集背景】
本数据集源站标题为《Coronary Artery Disease in Women: Getting to Know Gender Related Disparities》。配套论文《Coronary Artery Disease in Women: Getting to Know Gender Related Disparities》发表于 International Journal of Cardiovascular Sciences(2023),DOI:10.36660/ijcs.20220022。源站首次发布:2023-07-11。
【数据内容】
源站原始描述:Abstract Coronary artery disease (CAD) and ischemic heart disease (IHD) are often indistinctly used terms. Both combined have generated, over the past years, concerns about sex disparities in their presentation. From an epidemiological perspective, females have several disadvantages regarding the prevention, diagnosis, and treatment of CAD. Most of the general cardiovascular risk factors affect women more frequently, or with a higher morbidity and mortality association. Besides, atypical manifes…
【数据结构与技术规格】
文件数 4 个,合计 234.94 KB。数据集 DOI:10.6084/m9.figshare.23659312.v1。
【主题与分类】
源站学科分类:Cardiology。主题标签:Coronary Disease、Female、Risk factors。
【适用方向】
源站学科分类标注为 Cardiology。
【获取与许可】
源站页面:https://scielo.figshare.com/articles/dataset/Coronary_Artery_Disease_in_Women_Getting_to_Know_Gender_Related_Disparities/23659312
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Gilabert-Garcia, Ana; Guerrero, Cristina Cristina Villarreal; Dagio-Cuéllar, Rodrigo; Bermudez-Gonzalez, Jorge Luis; Perez-Partida, Arantza Marie; Berarducci, Joaquin; et al. (2023). Coronary Artery Disease in Women: Getting to Know Gender Related Disparities. SciELO journals. Dataset
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。
暂未开放公开下载
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。
免登录有偿下载
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:Coronary Artery Disease in Women: Getting to Know Gender Related Disparities
- DOI:10.6084/m9.figshare.23659312.v1
- 发布日期:2023-07-11
- 文件数:4 个
- 文件总体积:234.94 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Coronary_Artery_Disease_in_Women_Getting_to_Know_Gender_Related_Disparities/23659312
命令行下载
curl -L -o "9eb83315bf5180179e97577e19f3141a6c6b84de.jpg" "https://ndownloader.figshare.com/files/41518486"
curl -L -o "dfde74e5f7b10b088c7fc7d7f489e2f904bdc3a3.jpg" "https://ndownloader.figshare.com/files/41518489"
curl -L -o "5ea4fc7327dd0fca80fdcadc1e2e73ede5be4fc7.jpg" "https://ndownloader.figshare.com/files/41518492"
curl -L -o "59ce565bcb7d70ba4f7c00039ef8e246a2a828ae.jpg" "https://ndownloader.figshare.com/files/41518495"
文件清单
9eb83315bf5180179e97577e19f3141a6c6b84de.jpg(100.31 KB)dfde74e5f7b10b088c7fc7d7f489e2f904bdc3a3.jpg(6.84 KB)5ea4fc7327dd0fca80fdcadc1e2e73ede5be4fc7.jpg(122.08 KB)59ce565bcb7d70ba4f7c00039ef8e246a2a828ae.jpg(5.71 KB)
文件总体积 234.94 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 Coronary artery disease (CAD) and ischemic heart disease (IHD) are often indistinctly used terms. Both combined have generated, over the past years, concerns about sex disparities in their presentation. From an epidemiological perspective, females have several disadvantages regarding the prevention, diagnosis, and treatment of CAD. Most of the general cardiovascular risk factors affect women more frequently, or with a higher morbidity and mortality association. Besides, atypical manifestations of the disease and uncommon forms of CAD represent a diagnostic challenge for clinicians. Even if current treatments for CAD have no apparent sex bias, women representation in clinical trials and treatment patterns analyzed in clinical practice refuse this statement. Several disparities are caused by inevitable sex-particularities, but many of them are more social, cultural, and dogmatic beliefs that have to be addressed and overhaul.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.23659312.v1(source: https://scielo.figshare.com/articles/dataset/Coronary_Artery_Disease_in_Women_Getting_to_Know_Gender_Related_Disparities/23659312)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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