坦桑尼亚农村心脏病与超声心动图:未被充分认识的心脏病理的发生、特征和病因

坦桑尼亚农村心脏病超声心动图研究数据集,包含1243例超声心动图及临床数据,覆盖高血压心脏病、瓣膜病、冠心病等多种心脏病理。

Figshare
2018-12-26 更新
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表格、医学影像pathologies Background Littleechocardiographysystolic heart failureheart diseases
Heart diseases and echocardiography in rural Tanzania: Occurrence, characteristics, and etiologies of underappreciated cardiac pathologies

基本信息

模态
表格、医学影像
大小
0.000781752 GB
许可
CC BY 4.0
创建/更新时间
2018-12-26
版本
v1

资源简介

坦桑尼亚农村心脏病与超声心动图:未被充分认识的心脏病理的发生、特征和病因

【数据集背景】

本数据集源站标题为《Heart diseases and echocardiography in rural Tanzania: Occurrence, characteristics, and etiologies of underappreciated cardiac pathologies》。配套论文《Heart diseases and echocardiography in rural Tanzania: Occurrence, characteristics, and etiologies of underappreciated cardiac pathologies》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0208931。源站首次发布:2018-12-26。

【数据内容】

源站原始描述:Background Little is known about heart diseases and their treatment in rural sub-Saharan Africa. This study aimed to describe the occurrence, characteristics, and etiologies of heart diseases, and the medication taken before and prescribed after echocardiography in a rural referral Hospital in Tanzania. Methods This prospective descriptive cohort study included all adults and children referred for echocardiography. Clinical and echocardiographic data were collated for analysis. Results From Dece…

【数据结构与技术规格】

文件数 4 个,合计 781.75 KB。pone.0208931.s001.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,34.65 KB。pone.0208931.s002.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,38.20 KB。pone.0208931.s003.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,641.09 KB。数据集 DOI:10.1371/journal.pone.0208931。

【主题与分类】

源站学科分类:Medicine、Cell Biology、Molecular Biology、Biotechnology、Developmental Biology、Cancer。主题标签:pathologies Background Little、echocardiography、systolic heart failure、heart diseases。

【适用方向】

影像类数据可用于医学图像分析模型(检测、分割、分类)的训练与评测,也可用于标注质量与成像参数相关性的研究。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Heart_diseases_and_echocardiography_in_rural_Tanzania_Occurrence_characteristics_and_etiologies_of_underappreciated_cardiac_pathologies/7522664

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

规范引用:Raphael, Dominick M.; Roos, Laurine; Myovela, Victor; Mchomvu, Elisante; Namamba, Jabir; Kilindimo, Said; et al. (2018). Heart diseases and echocardiography in rural Tanzania: Occurrence, characteristics, and etiologies of underappreciated cardiac pathologies. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 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。

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)

命令行下载

curl -L -o "pone.0208931.s001.docx" "https://ndownloader.figshare.com/files/13989743"
curl -L -o "pone.0208931.s002.docx" "https://ndownloader.figshare.com/files/13989746"
curl -L -o "pone.0208931.s003.xlsx" "https://ndownloader.figshare.com/files/13989749"
curl -L -o "pone.0208931.s004.xlsx" "https://ndownloader.figshare.com/files/13989752"

文件清单

  • pone.0208931.s001.docx(34.65 KB)
  • pone.0208931.s002.docx(38.20 KB)
  • pone.0208931.s003.xlsx(641.09 KB)
  • pone.0208931.s004.xlsx(67.81 KB)

文件总体积 781.75 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

Background
Little is known about heart diseases and their treatment in rural sub-Saharan Africa. This study aimed to describe the occurrence, characteristics, and etiologies of heart diseases, and the medication taken before and prescribed after echocardiography in a rural referral Hospital in Tanzania.
Methods
This prospective descriptive cohort study included all adults and children referred for echocardiography. Clinical and echocardiographic data were collated for analysis.
Results
From December 2015 to October 2017, a total of 1’243 echocardiograms were performed. A total of 815 adults and 59 children ≤15 years had abnormal echocardiographic findings; in adults 537/815 (66%) had hypertension, with 230/537(43%) on antihypertensive drugs, and 506/815 (62%) were not on regular cardiac medication; 346/815 (42%) had severe eccentric or concentric left ventricular hypertrophy, and 182/815 (22%) had severe systolic heart failure. Only 44% demonstrated normal left ventricular systolic function. The most frequent heart diseases were hypertensive heart disease (41%), valvular heart disease (18%), coronary heart disease (18%), peripartum cardiomyopathy (7%), and other non-hypertensive dilated cardiomyopathies (6%) in adults, and congenital heart disease (34%) in children. Following echocardiography, 802/815 (98%) adults and 40/59 (68%) children had an indication for cardiac medication, 70/815 (9%) and 2/59 (3%) for oral anticoagulation, and 35/815 (4%) and 23/59 (39%) for cardiac surgery, respectively.
Conclusion
Hypertension is the leading etiology of heart diseases in rural Tanzania. Most patients present with advanced stages of heart disease, and the majority are not treated before echocardiography. There is an urgent need for increased awareness, expertise and infrastructure to detect and treat hypertension and heart failure in rural Africa.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0208931(source: https://plos.figshare.com/articles/dataset/Heart_diseases_and_echocardiography_in_rural_Tanzania_Occurrence_characteristics_and_etiologies_of_underappreciated_cardiac_pathologies/7522664)。

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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