most citedComparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.QM2021★ 2 cited

Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation

Luca Pasquini, Antonio Napolitano, Martina Lucignani +11

Radiomic models have been shown to outperform clinical data for outcome prediction in glioblastoma (GBM). However, clinical implementation is limited by lack of parameters standard…