一种深度学习方法用于预测缺失值的肺癌整体存活率

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Updated: Jun 21, 2025

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Published on: October 10, 2018

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Camillo Maria Caruso1, Valerio Guarrasi1, Sara Ramella2

  • 1Research Unit of Computer Systems and Bioinformatics, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.

Computer methods and programs in biomedicine
|July 5, 2024
PubMed
概括

这项研究引入了一种人工智能模型,可以通过处理缺失数据而准确预测非小细胞肺癌的存活率. 这种新方法的性能优于现有方法,简化了肺癌患者的生存分析.

关键词:
缺少的数据数据.在瘤学瘤学.精准医学是一门精准的医学.对生存分析的分析.

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