THE RESEARCH OF PREDICTING THE CERVICAL CANCER BASING ON BAYESIAN ALGORITHM
Journal Title: Topics in Intelligent Computing and Industry Design (ICID) - Year 2017, Vol 1, Issue 3
Abstract
Cervical cancer remains a significant cause of mortality in low-income country. It is necessary to find a most effective machine learning algorithm to predict the cervical cancer. Our research attempts to help doctor to judge whether a patient develops cervical cancer. Thus, we use Bayesian Classification, decision tree and Support Vector Machine to analysis the dataset. As a result, we compared 0-1 loss classification error rate of these algorithm, whose error rate is the least so it is the best. And the conclusion is that AODE is the most suitable algorithm of these.
Authors and Affiliations
Bei Hui, YuNan Jiang, HongTing Zhou, Lin Ji, Jia Chen,
Keywords
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- EP ID EP409145
- DOI 10.26480/iscsai.01.2017.20.22
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