Cluster-Based Toxicity Estimation of Osteoradionecrosis via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.

Seyedmohammadhossein HosseinianMehdi HemmatiCem DedeTravis C SalzilloLisanne V van DijkAbdallah S R MohamedStephen Y LaiAndrew J SchaeferClifton D Fuller

Published in: medRxiv : the preprint server for health sciences (2023)

This study presents an unsupervised-learning analysis of a large-scale data set to evaluate the risk of mandibular ORN among HNC patients. The results provide a visual risk-assessment tool (based on the whole DVH) and a spectrum of dose constraints for radiation planning.

Keyphrases

machine learning
end stage renal disease
newly diagnosed
big data
ejection fraction
artificial intelligence
chronic kidney disease
oxidative stress
electronic health record
prognostic factors
patient reported outcomes
radiation therapy