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

Background: Accurate outcome prediction is of great clinical significance in customizing personalized treatment plans, reducing the situation of poor recovery, and objectively and accurately evaluating the treatment effect. This study intended to evaluate the performance of clinical text information...

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Detalles Bibliográficos
Autores principales: Guo, Yingwei, Yang, Yingjian, Cao, Fengqiu, Li, Wei, Wang, Mingming, Luo, Yu, Guo, Jia, Zaman, Asim, Zeng, Xueqiang, Miu, Xiaoqiang, Li, Longyu, Qiu, Weiyan, Kang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324145/
https://www.ncbi.nlm.nih.gov/pubmed/35885568
http://dx.doi.org/10.3390/diagnostics12071664

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324145/
https://www.ncbi.nlm.nih.gov/pubmed/35885568
http://dx.doi.org/10.3390/diagnostics12071664

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