Abstract
This paper is to study the classification problem by Bayesian method in which estimating probability density function, and finding prior probability from real data are considered. The research also solves some complex calculations of this method by the built approximation and Matlab procedure. From the above improvements, an algorithm based on Bayesian method to classify a disease is proposed. This algorithm is applied specifically for a chronic kidney disease at the Can Tho Central General Hospital with real data. The outcome shows that the proposed algorithm has given good result in classifying this disease. Furthermore, this result also illustrates the advantages of the proposed method in comparison with the existing methods which are regularly used recently times.
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