Data for: Survival after in-hospital cardiac arrest among cerebrovascular disease patients
This dataset is designed for medical research, focusing on survival outcomes after in-hospital cardiac arrest among patients with cerebrovascular disease. It consists of binomial data (e.g., proportions) derived from meta-analyses, supporting both primary and secondary inclusion criteria as described in the associated article. The dataset can be used to investigate prognostic factors, survival rates, and clinical decision-making related to in-hospital cardiac arrest, applicable to research in epidemiology, critical care, and neurovascular disorders.
基本信息
About
This dataset is designed for medical research, focusing on survival outcomes after in-hospital cardiac arrest among patients with cerebrovascular disease. It consists of binomial data (e.g., proportions) derived from meta-analyses, supporting both primary and secondary inclusion criteria as described in the associated article. The dataset can be used to investigate prognostic factors, survival rates, and clinical decision-making related to in-hospital cardiac arrest, applicable to research in epidemiology, critical care, and neurovascular disorders.
https://data.mendeley.com/datasets/b354gfvv6r
下载信息
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使用方式
数据集获取
源站:https://data.mendeley.com/datasets/b354gfvv6r
标准获取流程:
- 访问源站链接,注册/登录账号;
- 进入数据集详情页,按页面指引申请权限或直接下载;
- 部分平台提供 SDK,例如:
- OpenDataLab:
pip install openxlab后openxlab.dataset.get(...) - ModelScope:
pip install modelscope后modelscope download - 天池: 登录后页面提供直链下载
以源站「数据下载/使用文档」页面为准。
- OpenDataLab:
数据说明
该数据集是一个医学研究数据集,旨在分析脑血管疾病患者发生院内心脏骤停后的生存情况。数据来源于一项荟萃分析研究,包含二项分布数据(如比例数据),用于支持文章中的主要和次要纳入标准分析。数据集可用于评估院内心脏骤停的预后因素、生存率统计以及相关临床决策支持研究,适用于流行病学、重症监护和神经血管疾病领域的科研工作。
Accuracy bottleneck? Data gaps?
Current open data not meeting your algorithm needs? We provide high-quality, multimodal real-world clinical data customized for Sudden cardiac arrest.




