COVID-19疫情期间及前后脑卒中患者入院、风险因素、TOAST分型、预后和干预数据
包含疫情前、高峰期及高峰后六个月内脑卒中患者的入院、风险因素、TOAST分型、预后及干预的表格数据。
基本信息
资源简介
COVID-19疫情期间及前后脑卒中患者入院、风险因素、TOAST分型、预后和干预数据
【数据集背景】
本数据集源站标题为《The details of the admissions, risk factors, TOAST classification, prognosis and interventions is shown for the pre-COVID-19, during the peak of the pandemic and in the six months following the peak of the pandemic.》。配套论文《Trends in stroke admissions before, during and post-peak of the COVID-19 pandemic: A one-year experience from the Qatar stroke database》发表于 PLOS ONE（2022），DOI：10.1371/journal.pone.0255185。源站首次发布：2022-03-24。
【数据内容】
源站原始描述：The details of the admissions, risk factors, TOAST classification, prognosis and interventions is shown for the pre-COVID-19, during the peak of the pandemic and in the six months following the peak of the pandemic
【数据结构与技术规格】
文件数 1 个，合计 9.73 KB。Table 1.xls：application/vnd.ms-excel，9.73 KB。数据集 DOI：10.1371/journal.pone.0255185.t001。
【主题与分类】
源站学科分类：Biochemistry、Medicine、Genetics、Molecular Biology、Neuroscience、Developmental Biology。主题标签：six months prior、little information whether、severe ischemic strokes、19 numbers began、fewer stroke mimics、6 months following、pandemic peak requires、stroke hospital admissions、ischemic stroke、stroke admissions。
【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。
【获取与许可】
源站页面：https://plos.figshare.com/articles/dataset/The_details_of_the_admissions_risk_factors_TOAST_classification_prognosis_and_interventions_is_shown_for_the_pre-COVID-19_during_the_peak_of_the_pandemic_and_in_the_six_months_following_the_peak_of_the_pandemic_/19413703
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Akhtar, Naveed; Kamran, Saadat; Al-Jerdi, Salman; Imam, Yahia; Joseph, Sujatha; Morgan, Deborah; et al. (2022). The details of the admissions, risk factors, TOAST classification, prognosis and interventions is shown for the pre-COVID-19, during the peak of the pandemic and in the six months followin…
【使用注意】
· 源站最后修改于 2023-06-04，引用时请注意版本时效。
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：The details of the admissions, risk factors, TOAST classification, prognosis and interventions is shown for the pre-COVID-19, during the peak of the pandemic and in the six months following the peak of the pandemic.
- DOI：10.1371/journal.pone.0255185.t001
- 发布日期：2022-03-24
- 文件数：1 个
- 文件总体积：9.73 KB
- 源站页面：https://plos.figshare.com/articles/dataset/The_details_of_the_admissions_risk_factors_TOAST_classification_prognosis_and_interventions_is_shown_for_the_pre-COVID-19_during_the_peak_of_the_pandemic_and_in_the_six_months_following_the_peak_of_the_pandemic_/19413703
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/34500910"
文件清单
Table 1.xls（9.73 KB）
文件总体积 9.73 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
The details of the admissions, risk factors, TOAST classification, prognosis and interventions is shown for the pre-COVID-19, during the peak of the pandemic and in the six months following the peak of the pandemic.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0255185.t001（source: https://plos.figshare.com/articles/dataset/The_details_of_the_admissions_risk_factors_TOAST_classification_prognosis_and_interventions_is_shown_for_the_pre-COVID-19_during_the_peak_of_the_pandemic_and_in_the_six_months_following_the_peak_of_the_pandemic_/19413703）。
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。
