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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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
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Frontiers Media S.A.
2021
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| Accès en ligne: | https://doaj.org/article/13337dfb05c64cd5a2f04d18df15cae3 |
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