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An ensemble learning with active sampling to predict the prognosis of postoperative non-small cell lung cancer patients
BACKGROUND: Lung cancer is the leading cause of cancer death worldwide. Prognostic prediction plays a vital role in the decision-making process for postoperative non-small cell lung cancer (NSCLC) patients. However, the high imbalance ratio of prognostic data limits the development of effective prog...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487160/ https://www.ncbi.nlm.nih.gov/pubmed/36123745 http://dx.doi.org/10.1186/s12911-022-01960-0 |