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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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