Novel Survival Features Generated by Clinical Text Information and Radiomics Features May Improve the Prediction of Ischemic Stroke Outcome

Guo, Y., Yang, Y., Cao, F., Li, W., Wang, M., Luo, Y., Guo, J., Zaman, A., Zeng, X., Miu, X., Li, L., Qiu, W., & Kang, Y. (2022). Novel Survival Features Generated by Clinical Text Information and Radiomics Features May Improve the Prediction of Ischemic Stroke Outcome. Diagnostics, 12(7), 1664. https://doi.org/10.3390/diagnostics12071664
Authors:
Yingwei Guo
Yingjian Yang
Fengqiu Cao
Wei Li
Mingming Wang
Yu Luo
Jia Guo
Asim Zaman
Xueqiang Zeng
Xiaoqiang Miu
Longyu Li
Weiyan Qiu
Yan Kang
Affiliated Authors:
Jia Guo
Columbia Affiliation:
Author Keywords:
ischemic stroke outcome
clinical text information
radiomics features
survival features
machine learning
elink
Publication Type:
Article
Unique ID:
10.3390/diagnostics12071664
DOI:
10.3390/diagnostics12071664
Journal:
Diagnostics
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
View Web of Science Record

Record Created: