Using machine learning algorithms to predict the prognosis of advanced nasopharyngeal carcinoma after intensity-modulated radiotherapy

Hu, Dan; Wang, Ying; Ji, Genxin; Liu, Yu

doi:10.1016/j.currproblcancer.2023.101040

Current Problems in Cancer

2024

DOI: 10.1016/j.currproblcancer.2023.101040

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Using machine learning algorithms to predict the prognosis of advanced nasopharyngeal carcinoma after intensity-modulated radiotherapy

Dan Hu,

Ying Wang,

Genxin Ji

et al.

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Using machine learning algorithms to predict the prognosis of advanced nasopharyngeal carcinoma after intensity-modulated radiotherapy

Cited by 1 publication

References 43 publications

Risk factor analysis and development of predictive models for osteoradionecrosis in patients with nasopharyngeal carcinoma after concurrent chemoradiotherapy

Risk factor analysis and development of predictive models for osteoradionecrosis in patients with nasopharyngeal carcinoma after concurrent chemoradiotherapy

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