Ali, Mohammed Hasan and Kohbalan, Moorthy and Anad, Mohammed Morad and Mohammed, Mohammed Abdulameer (2018) Propose a New Machine Learning Algorithm based on Cancer Diagnosis. Journal of Advanced Research in Dynamical & Control Systems, 10 (9). pp. 2668-2672. ISSN 1943-023X. (Published)
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Abstract
There are many machine learning algorithms proposed for multi-category classification problems in the cancer diagnosis area. Moreover, there are different reasons for using these algorithms such as the ability of machine learning to detect main features from complex data sets, which represents techniques have been utilized as an aim to model the progression and treatment of cancerous conditions. However, the traditional machine learning algorithms are facing several limitations, which may be impacted on the accuracy of classification based cancer diagnosis area. In this review, we focus on the current status of machine learning applications in cancer research, also propose a new algorithm Fast Learning Network to work based on cancer research.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ELM; FLN; SVM |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Dr. Kohbalan Moorthy |
| Date Deposited: | 09 Dec 2019 04:09 |
| Last Modified: | 09 Dec 2019 04:09 |
| URI: | http://umpir.ump.edu.my/id/eprint/25231 |
| Download Statistic: | View Download Statistics |
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