• ANIL KEWAT
• Dr. P.N. Srivastava
• Dr. Arvind Sharma

The term like intelligent systems, knowledge-based systems, expert systems etc. are meant to express the message that it is possible to construct machines that can exhibit intelligence just like people in doing a little easy task. In these tasks, we search for the final result of the performance of the machine for evaluation with the overall performance of a human being. We characteristic intelligence to the machine if the overall performance of the machine and human being are identical. In the recent trends, soft computing algorithms with the data mining techniques are applied in the different application domain for the prediction, knowledge extraction and performance evaluation tasks. Healthcare is one of them. In this paper, a Naïve Bayes soft computing algorithm is used with the data mining technique for investigating the performance of the blood bank and blood donors in a particular city on the idea of real-world datasets. Naive Bayes computing algorithm has the capability of supervised learning in addition to the statistical learning. Performances of Naive Bayes algorithm on the idea of varied parameters are evaluated and results are c

Naive-Bayes, soft computing, Blood-Donors, Neural Network, Dataset.

"EVALUATING THE PERFORMANCE OF NAIVE BAYES CLASSIFICATION ALGORITHM FOR BLOOD DONORS PROBLEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.298-304, June-2018, Available :http://www.jetir.org/papers/JETIR1806166.pdf

"EVALUATING THE PERFORMANCE OF NAIVE BAYES CLASSIFICATION ALGORITHM FOR BLOOD DONORS PROBLEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp298-304, June-2018, Available at : http://www.jetir.org/papers/JETIR1806166.pdf