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Exploring the efficacy of artificial neural networks in predicting lung cancer recurrence: a retrospective study based on patient records
BACKGROUND: Lung cancer remains a significant public health concern, accounting for a considerable number of cancer-related deaths worldwide. Neural networks have emerged as a promising tool that can aid in the diagnosis and treatment of various cancers. Consequently, there has been a growing intere...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654430/ https://www.ncbi.nlm.nih.gov/pubmed/38025814 http://dx.doi.org/10.21037/tlcr-23-350 |