A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma

A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma

Abstract The radiological dosimetric parameters and clinical features were screened by machine learning to construct a prediction model for the short-term efficacy of locally advanced Nasopharyngeal Carcinoma (LANPC). Patients diagnosed with Nasopharyngeal Carcinoma were retrospectively collected in...

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Bibliographic Details
Main Authors: Qiulu Zhong, Xiangde Li, Qinghua Du, Qianfu Liang, Danjing Luo, Jiaying Wen, Haiying Yue, Wenqi Liu, Xiaodong Zhu, Jian Li
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Locoregionally advanced nasopharyngeal carcinoma
Short-term efficacy
Machine-learning algorithm
Radiological dosimetric parameters
Online Access:https://doi.org/10.1038/s41598-025-02897-w
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