Support vector machine

Models of logistic regression analysis, support vector machine, and back-propagation neural network based on serum tumor markers in colorectal cancer diagnosis

B. Zhang, Liang, X. L., Gao, H. Y., Ye, L. S., Wang, Y. G., Zhang, B., Liang, X. L., Gao, H. Y., Ye, L. S., and Wang, Y. G., Models of logistic regression analysis, support vector machine, and back-propagation neural network based on serum tumor markers in colorectal cancer diagnosis, vol. 15, p. -, 2016.

We evaluated the application of three machine learning algorithms, including logistic regression, support vector machine and back-propagation neural network, for diagnosing congenital heart disease and colorectal cancer. By inspecting related serum tumor marker levels in colorectal cancer patients and healthy subjects, early diagnosis models for colorectal cancer were built using three machine learning algorithms to assess their corresponding diagnostic values.

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