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

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

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Detalles Bibliográficos
Autores principales: Sun, Chen, Li, Mohan, Lan, Ling, Pei, Lijian, Zhang, Yuelun, Tan, Gang, Zhang, Zhiyong, Huang, Yuguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009151/
https://www.ncbi.nlm.nih.gov/pubmed/36923433
http://dx.doi.org/10.3389/fonc.2023.1096468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009151/
https://www.ncbi.nlm.nih.gov/pubmed/36923433
http://dx.doi.org/10.3389/fonc.2023.1096468

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