Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning

For decades, researchers have used the concepts of rate of change and differential equations to model and forecast neoplastic processes. This expressive mathematical apparatus brought significant insights in oncology by describing the unregulated proliferation and host interactions of cancer cells,...

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Detalles Bibliográficos
Autores principales: Kurz, Daria, Sánchez, Carlos Salort, Axenie, Cristian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655230/
https://www.ncbi.nlm.nih.gov/pubmed/34901835
http://dx.doi.org/10.3389/frai.2021.713690

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655230/
https://www.ncbi.nlm.nih.gov/pubmed/34901835
http://dx.doi.org/10.3389/frai.2021.713690

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