Propose a New Machine Learning Algorithm based on Cancer Diagnosis
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 techn...
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ump-252312019-12-09T04:09:15Z http://umpir.ump.edu.my/id/eprint/25231/ Propose a New Machine Learning Algorithm based on Cancer Diagnosis Ali, Mohammed Hasan Kohbalan, Moorthy Anad, Mohammed Morad Mohammed, Mohammed Abdulameer QA75 Electronic computers. Computer science 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. Institute of Advanced Scientific Research 2018-10-04 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25231/7/Propose%20a%20New%20Machine%20Learning%20Algorithm%20based%20on%20Cancer%20Diagnosis1.pdf 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 http://www.jardcs.org/backissues/abstract.php?archiveid=6874 |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Ali, Mohammed Hasan Kohbalan, Moorthy Anad, Mohammed Morad Mohammed, Mohammed Abdulameer Propose a New Machine Learning Algorithm based on Cancer Diagnosis |
description |
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. |
format |
Article |
author |
Ali, Mohammed Hasan Kohbalan, Moorthy Anad, Mohammed Morad Mohammed, Mohammed Abdulameer |
author_facet |
Ali, Mohammed Hasan Kohbalan, Moorthy Anad, Mohammed Morad Mohammed, Mohammed Abdulameer |
author_sort |
Ali, Mohammed Hasan |
title |
Propose a New Machine Learning Algorithm based on Cancer Diagnosis |
title_short |
Propose a New Machine Learning Algorithm based on Cancer Diagnosis |
title_full |
Propose a New Machine Learning Algorithm based on Cancer Diagnosis |
title_fullStr |
Propose a New Machine Learning Algorithm based on Cancer Diagnosis |
title_full_unstemmed |
Propose a New Machine Learning Algorithm based on Cancer Diagnosis |
title_sort |
propose a new machine learning algorithm based on cancer diagnosis |
publisher |
Institute of Advanced Scientific Research |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/25231/ http://umpir.ump.edu.my/id/eprint/25231/ http://umpir.ump.edu.my/id/eprint/25231/7/Propose%20a%20New%20Machine%20Learning%20Algorithm%20based%20on%20Cancer%20Diagnosis1.pdf |
first_indexed |
2023-09-18T22:38:38Z |
last_indexed |
2023-09-18T22:38:38Z |
_version_ |
1777416765084532736 |