机器学习在个性化肺癌复发和生存能力预测中的应用。
关键词: ANNs, artificial neural networks ANOVA, analysis of variance AUC, the area under the ROC curve CART, classification and regression tree CNV, copy number variation DTs, decision trees Decision tree FFNN, Feedforward neural networks LS-SVM, least-squares support vector machine LUAD, lung adenocarcinoma LUSC, lung squamous cell carcinoma Lung cancer ML, machine learning Machine learning NSCLC, non-small cell lung cancer Personalized diagnosis and prognosis ROC, receiver operating characteristic SVMs, support vector machines TCGA, The Cancer Genome Atlas TNM, a common cancer staging system while T, N and M refers to tumour, node and metastasis
来 源:
DOI:10.1016/j.csbj.2022.03.035
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