Predicting breast tumor via mining DNA viruses with decision tree

Mu Chen Chen, Hung Chang Liao*, Cheng Lung Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Breast cancer is a serious problem, especially the young women in Taiwan. Until now, in the most medical researches, the reasons for suffering from breast tumor are unclear. However, most medical researches proved that DNA viruses are the high-risk factors closely related to human cancers. In recent years, hospitals and health organizations have been furnished with modern computerized medical equipment for data collection, monitoring and diagnosis. Additionally, these data are stored in large medical information systems for analysis purpose. Developing truthful and reliable classifiers for diagnosis and prognosis has become an essential task in medical and healthcare. It was reported with increasing confirmation that the machine learning algorithms can generate more accurate and transparent classifiers and decision rules for physicians than traditional methodologies. In the machine learning algorithms, decision trees have been already successfully used in the areas of medicine and healthcare. In this paper, an algorithm of decision trees, Chi-squared Automatic Interaction Detection (CHAID), is applied to build a classifier for predicting breast cancer and fibroadenoma. The results demonstrate that the decision tree technique is more favorably than logistic regression in terms of rule accuracy and knowledge transparency to physicians. Furthermore, the medical classifier can assist inexperienced physicians to prevent from misdiagnosis.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Systems, Man and Cybernetics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3585-3589
Number of pages5
ISBN (Print)1424401003, 9781424401000
DOIs
StatePublished - 1 Jan 2006
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan
Duration: 8 Oct 200611 Oct 2006

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume5
ISSN (Print)1062-922X

Conference

Conference2006 IEEE International Conference on Systems, Man and Cybernetics
CountryTaiwan
CityTaipei
Period8/10/0611/10/06

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