Abstract
The high-risk type of Human Papillomavirus (HPV) is the main etiologic factor of cervical cancer, which is a leading cause of cancer deaths in women worldwide. Therefore, classifying the risk type of HPVs is very useful and necessary to the daignosis and remedy of cervical cancer. In this paper, we classify the risk type of 72 HPVs and predict the risk type of 4 HPVs of which type is unknown. As a machine learning method to classify them, we use decision trees. According to the experimental results, it shows about 81.14% of accuracy. © Springer-Verlag 2003.
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CITATION STYLE
Park, S. B., Hwang, S., & Zhang, B. T. (2004). Classification of the risk types of human papillomavirus by decision trees. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2690, 540–544. https://doi.org/10.1007/978-3-540-45080-1_74
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