接收机工作特性
医学
肿瘤科
逻辑回归
特征选择
比例危险模型
朴素贝叶斯分类器
肺癌
放射基因组学
人工智能
内科学
机器学习
计算机科学
支持向量机
无线电技术
作者
Victor Lee,Nicholas Moore,Joshua Doyle,Daniel Hicks,Patrick Oh,Shari Bodofsky,Sajid Hossain,Abhijit A. Patel,Sanjay Aneja,Robert Homer,Henry S. Park
摘要
ML models leveraging primary tumor SNP data can enhance LNM prediction in NSCLC, outperforming traditional diagnostic methods. These findings underscore the potential of integrating genomics and ML to develop noninvasive biomarkers, enabling precise risk stratification and personalized treatment strategies in oncology.
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