A data-driven approach to a chemotherapy recommendation model based on deep learning for patients with colorectal cancer in Korea

BACKGROUND: Clinical Decision Support Systems (CDSSs) have recently attracted attention as a method for minimizing medical errors. Existing CDSSs are limited in that they do not reflect actual data. To overcome this limitation, we propose a CDSS based on deep learning. METHODS: We propose the Colore...

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Detalles Bibliográficos
Autores principales: Park, Jin-Hyeok, Baek, Jeong-Heum, Sym, Sun Jin, Lee, Kang Yoon, Lee, Youngho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510149/
https://www.ncbi.nlm.nih.gov/pubmed/32962726
http://dx.doi.org/10.1186/s12911-020-01265-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510149/
https://www.ncbi.nlm.nih.gov/pubmed/32962726
http://dx.doi.org/10.1186/s12911-020-01265-0

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