Developing Machine Learning Algorithms Incorporating Patient Reported Outcomes to Predict Disease Progression in Head and Neck Cancers

Patient reported outcome (PRO) is gaining traction for implementation into clinical practice within electronic medical record systems. Recent randomized controlled trials support standardized PRO-base monitoring in enhancing health-related quality of life, reducing emergency department use and improving overall survival. Here, we examined whether a validated head and neck cancer (HNC) specific PRO or general PRO can better predict disease progression using machine learning algorithms.

Source: International Journal of Radiation Oncology * Biology * Physics - March 14, 2024 Category: Radiology Authors: C.M. Yao, K. Hueniken, S.H. Huang, C.J. Tsai, A. McPartlin, A. Hosni, A.J. Hope, G. Liu, D. Goldstein, T. Chan, J. de Almeida Tags: 168 Source Type: research