A proposed framework using CAC algorithm to predict systemic lupus erythematosus (SLE)

Abstract

The paper proposes new framework to predict the chronic Lupus disease. The new algorithm has been proposed which is best suitable for supervised, semi supervised and unsupervised data. The algorithm is named as CAC (Clustering Association and Classification). The best algorithms are selected based on the accuracy. The 8 major attributes to diagnose lupus has been identified and considered for prediction purpose. The new framework is designed with four phases. The analysis of 27 lupus patients has been tabulated. A new tool is being developed to predict using CAC algorithm.