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Machine Learning-Based Prediction of Early Recurrence in Glioblastoma Patients: A Glance Towards Precision Medicine.

Giuseppe Maria Della PepaValerio Maria CaccavellaGrazia MennaTamara IusAnna Maria AuricchioGiovanni SabatinoGiuseppe La RoccaSilvia ChiesaSimona GaudinoEnrico MarcheseAlessandro Olivi
Published in: Neurosurgery (2021)
A robust ML-based prediction model that identifies patients at high risk for early recurrence was successfully trained and internally validated. Considerable effort remains to integrate these predictions in a patient-centered care context.
Keyphrases
  • end stage renal disease
  • machine learning
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • patient reported outcomes
  • genome wide
  • high intensity