This study aims to explore the contribution of ensemble methods when applied to the prediction of EGFR mutation status. The obtained results translate in a ...
Nov 4, 2021 · This paper proposes ensemble learning techniques to com- bine radiomic and semantic features in order to predict the EGFR mutation status. This ...
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Jun 27, 2022 · After that, we used two ensemble learning strategies, hard voting and soft voting, to combine the advantages of individual classifiers.
Ensemble Strategies for EGFR Mutation Status Prediction in Lung ...
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This study aims to explore the contribution of ensemble methods when applied to the prediction of EGFR mutation status. The obtained results translate in a ...
This preliminary work aims to provide further advances in the radiogenomics field by studying the use of ensemble methods to predict the Epidermal Growth Factor ...
Thereafter, Xgboost classifiers were built to predict specific EGFR mutation types along with an ensemble model to give a judgment on EGFR general status.
Jul 9, 2024 · The ensemble model of RF, XGBoost, and LR achieved the best performance (AUCs of 0.8465 and 0.8654 on the training and test sets, respectively).
To confirm the EGFR gene mutation, these experts used three methods: a method based on an analysis of the cellular tissue of the tumor by a surgical procedure ...
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Apr 29, 2021 · In this paper, an ensemble approach is applied to increase the performance of EGFR and KRAS mutation prediction using a small dataset.
Jun 22, 2022 · Objectives: The aim of this study is to determine whether the clinical features including blood markers can establish an explainable machine ...