Multicenter Acute Ischemic Stroke, MRI and Clinical Text Dataset

Principal Investigator(s):  View help for Principal Investigator(s) Zhiqiang Zhang; Chuanzhen Xu

Version:  View help for Version V1

Name File Type Size Last Modified
ROI_NJ1st00002_w3_ROI.nii application/octet-stream 1 MB 07/06/2024 10:26:PM
ROI_NJ1st00003_w3_ROI.nii application/octet-stream 1 MB 07/06/2024 10:26:PM
ROI_NJ1st00004_w3_ROI.nii Unknown 1 MB 07/06/2024 10:26:PM
ROI_NJ1st00005_w3_ROI.nii Unknown 1 MB 07/06/2024 10:26:PM
ROI_NJ1st00006_w3_ROI.nii Unknown 1 MB 07/06/2024 10:26:PM
ROI_NJ1st00007_w3_ROI.nii application/octet-stream 1 MB 07/06/2024 10:26:PM
ROI_NJ1st00008_w3_ROI.nii Unknown 1 MB 07/06/2024 10:26:PM
ROI_NJ1st00009_w3_ROI.nii Unknown 1 MB 07/06/2024 10:26:PM
ROI_NJ1st00010_w3_ROI.nii application/octet-stream 1 MB 07/06/2024 10:26:PM
ROI_NJ1st00011_w3_ROI.nii application/octet-stream 1 MB 07/06/2024 10:26:PM

Citation: 

Zhang, Zhiqiang, and Xu, Chuanzhen. Multicenter Acute Ischemic Stroke, MRI and Clinical Text Dataset: roi. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-07-07. https://doi.org/10.3886/E207725V1-161521

To view the citation for the overall project, see http://doi.org/10.3886/E207725V1.

Project Description

Summary:  View help for Summary
随着全球中风风险的增加，对中风临床症状和临床决策的研究已成为
尤其有必要。高质量、大规模、足够丰富的临床文本数据是开展临床文本研究的基础。
中风。我们收集了 5788 名急性缺血性中风患者的多模态 MRI 数据集，据我们所知，这是
最大的中风数据集，包含详细和完整的临床文本数据。该数据集的发布对于
促进旨在实现分析方法多样化的人工智能模型的发展。这些模型
探索一系列目前依赖人类的可学习的标准化或重复性任务，包括与疾病相关的评分
计算，如 Aspect 评分、预后预测、治疗方案选择、病变标记和病变
分割。



Related Publications

This study is un-published. See below for other available versions.

Published Versions

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.