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Fig. 2 | Radiation Oncology

Fig. 2

From: CT radiomics-based long-term survival prediction for locally advanced non-small cell lung cancer patients treated with concurrent chemoradiotherapy using features from tumor and tumor organismal environment

Fig. 2

Schematic overview of the genetic algorithm (GA) in the integrated feature selection and model training (IFSMT) approach. A chromosome is scored with LOOCV-SVM. The chromosomes of higher scores may go through mutation and crossover to make new ones to replace those of lower scores. Collect the chromosome of best score from each generation into a group. And the best one in the group is the result of the model. Abbreviation: LOOCV, leave-one-out cross-validation; SVM, support vector machine

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