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What is Colorectal Cancer Prediction Using SVM about?

This study presents a novel method for predicting colorectal cancer (CRC) using an integrated model that combines logistic regression (LR) and support vector machine (SVM) techniques. The model identifies significant risk factors such as the presence of specific gut microbiota (Firmicutes and Bacteroidetes), age, and BMI, achieving an accuracy of 90.1% to 91.2% in classifying CRC samples. This approach addresses challenges in prediction accuracy and feature redundancy, offering a reliable tool for early det

Author

Nadia

Language

EN