Machine Learning and Feature Selection Methods for <i>EGFR</i> Mutation Status Prediction in Lung Cancer

Machine Learning and Feature Selection Methods for <i>EGFR</i> Mutation Status Prediction in Lung Cancer

The evolution of personalized medicine has changed the therapeutic strategy from classical chemotherapy and radiotherapy to a genetic modification targeted therapy, and although biopsy is the traditional method to genetically characterize lung cancer tumor, it is an invasive and painful procedure fo...

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Bibliographic Details
Main Authors: Joana Morgado, Tania Pereira, Francisco Silva, Cláudia Freitas, Eduardo Negrão, Beatriz Flor de Lima, Miguel Correia da Silva, António J. Madureira, Isabel Ramos, Venceslau Hespanhol, José Luis Costa, António Cunha, Hélder P. Oliveira
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
radiogenomics
machine learning
feature selection
lung cancer
<i>EGFR</i> prediction
Online Access:https://www.mdpi.com/2076-3417/11/7/3273

Internet

https://www.mdpi.com/2076-3417/11/7/3273

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