The innovative model based on artificial intelligence algorithms to predict recurrence risk of patients with postoperative breast cancer

PURPOSE: This study aimed to develop a machine learning model to retrospectively study and predict the recurrence risk of breast cancer patients after surgery by extracting the clinicopathological features of tumors from unstructured clinical electronic health record (EHR) data. METHODS: This retros...

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Detalles Bibliográficos
Autores principales: Zeng, Lixuan, Liu, Lei, Chen, Dongxin, Lu, Henghui, Xue, Yang, Bi, Hongjie, Yang, Weiwei
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/PMC10029918/
https://www.ncbi.nlm.nih.gov/pubmed/36959794
http://dx.doi.org/10.3389/fonc.2023.1117420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029918/
https://www.ncbi.nlm.nih.gov/pubmed/36959794
http://dx.doi.org/10.3389/fonc.2023.1117420

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