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A machine learning‐based survival prediction model of high grade glioma by integration of clinical and dose‐volume histogram parameters
PURPOSE: Glioma is the most common type of primary brain tumor in adults, and it causes significant morbidity and mortality, especially in high‐grade glioma (HGG) patients. The accurate prognostic prediction of HGG is vital and helpful for clinicians when developing therapeutic strategies. Therefore...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026951/ https://www.ncbi.nlm.nih.gov/pubmed/33760360 http://dx.doi.org/10.1002/cam4.3838 |