KERNEL-BASED NAIVE BAYES CLASSIFIER FOR BREAST CANCER PREDICTION.
In: Journal of Biological Systems, Jg. 15 (2007-03-01), Heft 1, S. 17-25
academicJournal
Zugriff:
The classification of breast cancer patients is of great importance in cancer diagnosis. Most classical cancer classification methods are clinical-based and have limited diagnostic ability. The recent advances in machine learning technique has made a great impact in cancer diagnosis. In this research, we develop a new algorithm: Kernel-Based Naive Bayes (KBNB) to classify breast cancer tumor based on memography data. The performance of the proposed algorithm is compared with that of classical navie bayes algorithm and kernel-based decision tree algorithm C4.5. The proposed algorithm is found to outperform in the both cases. We recommend the proposed algorithm could be used as a tool to classify the breast patient for early cancer diagnosis. [ABSTRACT FROM AUTHOR]
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Titel: |
KERNEL-BASED NAIVE BAYES CLASSIFIER FOR BREAST CANCER PREDICTION.
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Autor/in / Beteiligte Person: | NAHAR, JESMIN ; CHEN, YI-PING PHOEBE ; ALI, SHAWKAT |
Zeitschrift: | Journal of Biological Systems, Jg. 15 (2007-03-01), Heft 1, S. 17-25 |
Veröffentlichung: | 2007 |
Medientyp: | academicJournal |
ISSN: | 0218-3390 (print) |
DOI: | 10.1142/S0218339007002076 |
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