The data mining techniques such as Neural Network, Naïve Bayes, and Association rules are at present not well explored on medical databases. In this paper, we present and analyze our experimental results on thrombosis medical database by employing data mining tool of XLMiner and using different data mining techniques such as Naive Bayes and Neural Network for classification, Association rules, and Neural Network and K-Nearest Neighbors for prediction. As seen from experiments, some results are common across various mining techniques while others are unique.