A Machine Learning Model for Predicting a Major Response to Neoadjuvant Chemotherapy in Advanced Gastric Cancer

AIMS: To develop and validate a model for predicting major pathological response to neoadjuvant chemotherapy (NAC) in advanced gastric cancer (AGC) based on a machine learning algorithm. METHOD: A total of 221 patients who underwent NAC and radical gastrectomy between February 2013 and September 202...

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Detalles Bibliográficos
Autores principales: Chen, Yonghe, Wei, Kaikai, Liu, Dan, Xiang, Jun, Wang, Gang, Meng, Xiaochun, Peng, Junsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204104/
https://www.ncbi.nlm.nih.gov/pubmed/34141620
http://dx.doi.org/10.3389/fonc.2021.675458

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204104/
https://www.ncbi.nlm.nih.gov/pubmed/34141620
http://dx.doi.org/10.3389/fonc.2021.675458

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