Comparative Study of Classifiers for Prediction of Recurrence of Liver Cancer Using Binary Patterns
Liver cancer has a high likelihood of recurrence despite complete surgical resection and is thus known as an intractable cancer. If postoperative recurrence of cancer is correctly predicted for each patient as a form of personalized medicine, effective treatment can be carried out. The purpose of this paper is to evaluate classifiers for predicting recurrence of liver cancer by use of blood test data only in patients who underwent complete surgical resection of liver cancer. We conduct comparative study of 3 classifiers with use of binary patterns, which consist of clinical data and genomic data.
KeywordsCancer Diagnosis Classifier Binary Pattern Boolean Algebra
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