ascopubs.org

Machine Learning Model of Emergency Department Use for Patients Undergoing Treatment for Head and Neck Cancer Using Comprehensive Multifactor Electronic Health Records

Of the 1,355 patients studied, 13% had an ED visit during or after treatment. Our hybrid methodology enabled evidence-based winnowing of candidate features from 141 to 11 with clinically applicable, ...
ascopubs.org

Machine Learning Model of Emergency Department Use for Patients Undergoing Treatment for Head and Neck Cancer Using Comprehensive Multifactor Electronic Health Records

Image-Based Deep Neural Network for Individualizing Radiotherapy Dose Is Transportable Across Health Systems Patients with head and neck cancer treated with radiation therapy from 2015 to 2019 were ...