Medicine and Health Sciences Commons^™

Machine Learning Models For 6-Month Survival Prediction After Surgical Resection Of Glioblastoma, Jeffrey Gray, Lohit Velagapudi, Michael Baldassari, Bryan Sadler, David Vuong

Phase 1

Introduction: The role of surgical resection for the treatment of glioblastoma multiforme is well established. Survival analysis after resective surgery in the literature comprises mostly of traditional statistical models. Machine learning models offer powerful predictive and analytical capability for varied datasets and offer improved generalizability and scalability. We analyzed survival data of patients with glioblastoma with various machine learning algorithms and compared it to binary logistic regression.

Methods: We retrospectively identified cases of glioblastoma treated with surgical resection at our institution from 2012-2018. Feature scaling and one-hot encoding was used to better fit the models to the data and used …