… In Section 2, some background on data mining, liver disease, classification algorithms, and
… C5.0 and CHAID classification algorithms for the early detection of liver disease. Finally, we …

… This research aims to present the performance analysis of ML classification algorithms for
… are utilized to assess the performance of ML classification algorithm going on liver datasets. …

… to find the best classification technique for early detection of behaviour determinant based
cervical cancer. Results showed that all tested algorithms works successfully with minimum …

… Early detection of breast cancer is of great value in improving the prognosis. The current
detection … combined with different classification algorithms for the early detection of breast …

… classification task, and therefore it is desired to be removed in order to develop efficient
classification algorithms… only the meaningful information regarding the detection of the AD will be …

… Earlier detection and classification of DR cases … algorithms. In this paper, we aim to study
the performance of various machine learning algorithms-based DR detection and classification …

… Therefore, early bearing fault detection is very important to … machine algorithm is used for
early detection and classification of … the support vector machine learning algorithm. The trained …

… , many early detection or … the classification algorithms which were successful as well as an
explanation of how they work, are presented. In other words, the Weka classes and algorithms …

… early detection of plant diseases are vital for precision crop protection. The main contribution
of this paper is a procedure for the early detection … features for an automatic classification. …

… The accurate detection of microaneurysms (MAs) is a critical step for early detection of …
In this paper, we propose a three-stage system for early detection of MAs using filter banks. …