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Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients
BACKGROUND AND PURPOSE: Radiation-induced toxicities are common adverse events in lung cancer (LC) patients undergoing radiotherapy (RT). An accurate prediction of these adverse events might facilitate an informed and shared decision-making process between patient and radiation oncologist with a cle...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213176/ https://www.ncbi.nlm.nih.gov/pubmed/37251617 http://dx.doi.org/10.1016/j.ctro.2023.100640 |