https://www.selleckchem.com/pr....oducts/carfilzomib-p
Background To determine if a machine learning approach optimizes survival estimation for patients with symptomatic bone metastases (SBM), we developed the Bone Metastases Ensemble Trees for Survival (BMETS) to predict survival using 27 prognostic covariates. To establish relative clinical utility, we compared BMETS to two simpler Cox regression models used in this setting. Methods and materials For 492 bone sites in 397 patients evaluated for palliative radiation therapy (RT) for SBM from 1/2007-1/2013, data for 27 clinical v
Like
Comment
Share
