Development of Algorithms for the Classification of the Benign and Malignant Tumors

Lamri Zouaoui , H. Azizi , M. Boughazi , Herman Akdag (1)

1 MALIRE - Machine Learning and Information Retrieval

The main objective of this paper is to develop and implement new algorithms of classification and show that the method of the nearest neighbors rule can be also applied successfully to deal with the medical classification problems. In this context, we developed two original algorithms of classification by the method of the nearest neighbors rule and we validated them by a real application in the field of classification for the assistance to the treatment of the breast cancer to detect possible benign or malignant tumors.

Domaines: Informatique [cs]

Lamri Zouaoui, H. Azizi, M. Boughazi, Herman Akdag. Development of Algorithms for the Classification of the Benign and Malignant Tumors. 1st Mediterranean Conference on Intelligent Systems and Automation, Jun 2008, Annaba, Algeria. pp.503-506, ⟨10.1063/1.2953033⟩. ⟨hal-01299443⟩