Longitudinal Patterns in Clinical and Imaging Measurements Predict Residual Survival in Glioblastoma Patients

The growing amount of longitudinal data for a large population of patients has necessitated the application of algorithms that can discover patterns to inform patient management. This study demonstrates how temporal patterns generated from a combination of clinical and imaging measurements improve r...

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Detalles Bibliográficos
Autores principales: Smedley, Nova F., Ellingson, Benjamin M., Cloughesy, Timothy F., Hsu, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158293/
https://www.ncbi.nlm.nih.gov/pubmed/30258190
http://dx.doi.org/10.1038/s41598-018-32397-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158293/
https://www.ncbi.nlm.nih.gov/pubmed/30258190
http://dx.doi.org/10.1038/s41598-018-32397-z

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