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The development of computer\u2010aided 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\u2010learning 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\u2010learning algorithms. The proposed models were applied to the BIDMC\u2010MGH 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.<\/jats:p>","DOI":"10.1155\/2020\/4671349","type":"journal-article","created":{"date-parts":[[2020,2,28]],"date-time":"2020-02-28T18:32:15Z","timestamp":1582914735000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Tabu Search and Machine\u2010Learning Classification of Benign and Malignant Proliferative Breast Lesions"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4668-7840","authenticated-orcid":false,"given":"Habib","family":"Dhahri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9086-5080","authenticated-orcid":false,"given":"Ines","family":"Rahmany","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4163-7625","authenticated-orcid":false,"given":"Awais","family":"Mahmood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2436-0249","authenticated-orcid":false,"given":"Eslam","family":"Al Maghayreh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wail","family":"Elkilani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2020,2,28]]},"reference":[{"key":"e_1_2_7_1_2","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.29210"},{"key":"e_1_2_7_2_2","doi-asserted-by":"publisher","DOI":"10.1056\/nejm199412013312206"},{"key":"e_1_2_7_3_2","first-page":"77","article-title":"Image analysis and machine learning applied to breast cancer diagnosis and prognosis","volume":"17","author":"Wolberg W. 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