Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model

First-line treatments of cancer do not always work, and even when they do, they cure the disease at unequal rates mostly owing to biological and clinical heterogeneity across patients. Accurate prediction of clinical outcome and survival following the treatment can support and expedite the process o...

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Detalles Bibliográficos
Autores principales: Koo, Jamin, Choi, Kyucheol, Lee, Peter, Polley, Amanda, Pudupakam, Raghavendra Sumanth, Tsang, Josephine, Fernandez, Elmer, Han, Enyang James, Park, Stanley, Swartzfager, Deanna, Qi, Nicholas Seah Xi, Jung, Melody, Ocnean, Mary, Kim, Hyun Uk, Lim, Sungwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704313/
https://www.ncbi.nlm.nih.gov/pubmed/34941828
http://dx.doi.org/10.3390/vetsci8120301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704313/
https://www.ncbi.nlm.nih.gov/pubmed/34941828
http://dx.doi.org/10.3390/vetsci8120301

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