Tabu Search and Machine-Learning Classification of Benign and Malignant Proliferative Breast Lesions
Joint Authors
Dhahri, Habib
Rahmany, Ines
Mahmood, Awais
Al Maghayreh, Eslam
Elkilani, Wail
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Breast cancer is the most diagnosed cancer among women around the world.
The development of computer-aided diagnosis tools is essential to help pathologists to accurately interpret and discriminate between malignant and benign tumors.
This paper proposes the development of an automated proliferative breast lesion diagnosis based on machine-learning algorithms.
We used Tabu search to select the most significant features.
The evaluation of the feature is based on the dependency degree of each attribute in the rough set.
The categorization of reduced features was built using five machine-learning algorithms.
The proposed models were applied to the BIDMC-MGH and Wisconsin Diagnostic Breast Cancer datasets.
The performance measures of the used models were evaluated owing to five criteria.
The top performing models were AdaBoost and logistic regression.
Comparisons with others works prove the efficiency of the proposed method for superior diagnosis of breast cancer against the reviewed classification techniques.
American Psychological Association (APA)
Dhahri, Habib& Rahmany, Ines& Mahmood, Awais& Al Maghayreh, Eslam& Elkilani, Wail. 2020. Tabu Search and Machine-Learning Classification of Benign and Malignant Proliferative Breast Lesions. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1134087
Modern Language Association (MLA)
Dhahri, Habib…[et al.]. Tabu Search and Machine-Learning Classification of Benign and Malignant Proliferative Breast Lesions. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1134087
American Medical Association (AMA)
Dhahri, Habib& Rahmany, Ines& Mahmood, Awais& Al Maghayreh, Eslam& Elkilani, Wail. Tabu Search and Machine-Learning Classification of Benign and Malignant Proliferative Breast Lesions. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1134087
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134087