A Prediction Model for Tumor Recurrence in Stage II–III Colorectal Cancer Patients: From a Machine Learning Model to Genomic Profiling

Background: Colorectal cancer (CRC) is one of the most prevalent malignant diseases worldwide. Risk prediction for tumor recurrence is important for making effective treatment decisions and for the survival outcomes of patients with CRC after surgery. Herein, we aimed to explore a prediction algorit...

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Detalles Bibliográficos
Autores principales: Chen, Po-Chuan, Yeh, Yu-Min, Lin, Bo-Wen, Chan, Ren-Hao, Su, Pei-Fang, Liu, Yi-Chia, Lee, Chung-Ta, Chen, Shang-Hung, Lin, Peng-Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961774/
https://www.ncbi.nlm.nih.gov/pubmed/35203549
http://dx.doi.org/10.3390/biomedicines10020340

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961774/
https://www.ncbi.nlm.nih.gov/pubmed/35203549
http://dx.doi.org/10.3390/biomedicines10020340

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