Evaluating Performance of Regression and Classification Models Using Known Lung Carcinomas Prognostic Markers
Differential expression study between tumor and non-tumor cells aids lung cancer diagnostic classifications and prognostic prediction at various stages. Support vector machine (SVM) learning is used to categorize the morphology of lung cancer. Logistic regression, random forest, and group lasso-base...
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| Main Authors: | , , |
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| Format: | Book Section |
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Springer Cham
2022
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| Online Access: | http://eprints.sunway.edu.my/2995/ https://link.springer.com/book/10.1007/978-3-031-07802-6 https://doi.org/10.1007/978-3-031-07802-6 |
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