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An Interpretable Two-Phase Modeling Approach for Lung Cancer Survivability Prediction
Although lung cancer survival status and survival length predictions have primarily been studied individually, a scheme that leverages both fields in an interpretable way for physicians remains elusive. We propose a two-phase data analytic framework that is capable of classifying survival status for...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503480/ https://www.ncbi.nlm.nih.gov/pubmed/36146145 http://dx.doi.org/10.3390/s22186783 |