Construction of an oligometastatic prediction model for nasopharyngeal carcinoma patients based on pathomics features and dynamic multi-swarm particle swarm optimization support vector machine

Construction of an oligometastatic prediction model for nasopharyngeal carcinoma patients based on pathomics features and dynamic multi-swarm particle swarm optimization support vector machine

ObjectiveThis study aimed to develop a risk prediction model for post-treatment oligometastasis in nasopharyngeal carcinoma (NPC) by integrating pathomics features and an improved Support vector machine (SVM) algorithm, offering precise early decision support.MethodsThis study retrospectively includ...

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Bibliographic Details
Main Authors: Yunfei Li, Dongni Zhang, Yiren Wang, Yiheng Hu, Zhongjian Wen, Cheng Yang, Ping Zhou, Wen-Hui Cheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Oncology
Subjects:
machine learning
prediction model
metastases
nasopharyngeal carcinoma
pathomics
support vector machine
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1589919/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1589919/full

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