基于临床检验指标建立肺腺癌患者浸润程度判别模型

王梦菲, 杨守志, 乔永霞, 黄琳

Establishment of discriminative models for predicting the infiltration degree of patients with lung adenocarcinoma based on clinical laboratory indicators

WANG Mengfei, YANG Shouzhi, QIAO Yongxia, HUANG Lin

表4 基于不同机器学习算法的诊断模型分类结果

Tab 4 Classification results of diagnostic models based on different machine learning algorithms

Algorithm AUC Sensitivity Specificity PDeLong test RR 0.744 0.708 0.702 N/A LASSO 0.723 0.796 0.574 0.196 NN 0.679 0.558 0.830 0.008 RF 0.663 0.717 0.638 0.030 kNN 0.644 0.363 0.851 0.002 SVM 0.629 0.531 0.723 0.004 Decision Tree 0.552 0.664 0.468 0.000 AdaBoost 0.532 0.681 0.383 0.000