2023
DOI: 10.1186/s13018-023-04105-9
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Predicting overall survival in chordoma patients using machine learning models: a web-app application

Peng Cheng,
Xudong Xie,
Samuel Knoedler
et al.

Abstract: Objective The goal of this study was to evaluate the efficacy of machine learning (ML) techniques in predicting survival for chordoma patients in comparison with the standard Cox proportional hazards (CoxPH) model. Methods Using a Surveillance, Epidemiology, and End Results database of consecutive newly diagnosed chordoma cases between January 2000 and December 2018, we created and validated three ML survival models as well as a traditional CoxPH m… Show more

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“…The efficacy of mobile learning applications is contingent upon their content validity, accuracy, and alignment with educational objectives [20]. Validation studies play a pivotal role in ensuring that these applications meet pedagogical standards [21].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The efficacy of mobile learning applications is contingent upon their content validity, accuracy, and alignment with educational objectives [20]. Validation studies play a pivotal role in ensuring that these applications meet pedagogical standards [21].…”
Section: Literature Reviewmentioning
confidence: 99%