R�cemment, la classification par extraction de donn�es a trouv� une place remarquable dans le domaine m�dical. L'apprentissage automatique est un domaine �mergent qui permet de comprendre et d'analyser d'�normes quantit�s de donn�es sur les soins de sant�. Cette recherche pr�sente l'analyse des performances de diff�rentes techniques de classification sur des ensembles de donn�es m�dicales � l'aide de l'outil d'apprentissage automatique Weka. Nous avons appliqu� diff�rents classificateurs � quatre ensembles de donn�es m�dicales afin de trouver le meilleur algorithme de classification. Les r�sultats obtenus montrent que l'algorithme J48 et l'algorithme Random Forest sont les plus prometteurs parmi tous les algorithmes de classification.

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