Prediction models for chronic postsurgical pain in patients with breast cancer based on machine learning approaches

Prediction models for chronic postsurgical pain in patients with breast cancer based on machine learning approaches

PurposeThis study aimed to develop prediction models for chronic postsurgical pain (CPSP) after breast cancer surgery using machine learning approaches and evaluate their performance.MethodsThe study was a secondary analysis based on a high-quality dataset from a randomized controlled trial (NCT0041...

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Bibliographic Details
Main Authors: Chen Sun, Mohan Li, Ling Lan, Lijian Pei, Yuelun Zhang, Gang Tan, Zhiyong Zhang, Yuguang Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Oncology
Subjects:
chronic postsurgical pain (CPSP)
breast cancer
prediction model
machine learning
high-risk identification
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1096468/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1096468/full

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