Medical data mining intends to solve real-world problems in the diagnosis and treatment of diseases. This process applies various techniques and algorithms which have different levels of accuracy and precision. The purpose of this article is to apply data mining techniques to the diagnosis of asthma. Sensitivity, specificity and accuracy of K-nearest neighbor, Support Vector Machine, naive Bayes, Artificial Neural Network, classification tree, CN2 algorithms, and related similar studies were evaluated. ROC curves were plotted to show the performance of the authors' approach. Support vector machine (SVM) algorithms achieved the highest accuracy at 98.59% with a sensitivity of 98.59% and a specificity of 98.61% for class 1. Other algorithms had a range of accuracy greater than 87%. The results show that the authors can accurately diagnose asthma approximately 98% of the time based on demographics and clinical data. 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Journal of Computing and Information Technology"},{"key":"IJISSS.2018040102-11","author":"B.Efron","year":"1995","journal-title":"Cross-validation and the bootstrap: Estimating the error rate of a prediction rule"},{"issue":"3","key":"IJISSS.2018040102-12","first-page":"37","article-title":"From data mining to knowledge discovery in databases.","volume":"17","author":"U.Fayyad","year":"1996","journal-title":"AI Magazine"},{"key":"IJISSS.2018040102-13","unstructured":"Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, P., & Uthurusamy, R. (1996). Advances in knowledge discovery and data mining."},{"key":"IJISSS.2018040102-14","article-title":"A Fuzzy rule-based expert system for diagnosing Asthma.","author":"M.Fazel Zarandi","year":"2010","journal-title":"Scientia Iranica"},{"key":"IJISSS.2018040102-15","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-005-0463-6"},{"key":"IJISSS.2018040102-16","doi-asserted-by":"crossref","unstructured":"Ghosh, A., De, R. K., & Pal, S. K. (2007). Pattern Recognition and Machine Intelligence. In Proceedings of theSecond International Conference, PReMI 2007, Kolkata, India, December 18-22. Springer.","DOI":"10.1007\/978-3-540-77046-6"},{"key":"IJISSS.2018040102-17","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2013.19.2.121"},{"key":"IJISSS.2018040102-18","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M2846"},{"key":"IJISSS.2018040102-19","author":"F. T.Hristea","year":"2012","journal-title":"The Na\u00efve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection"},{"key":"IJISSS.2018040102-20","unstructured":"Hsu, C.-W., Chang, C.-C., & Lin, C.-J. (2003). A practical guide to support vector classification."},{"key":"IJISSS.2018040102-21","doi-asserted-by":"publisher","DOI":"10.1029\/95WR01955"},{"key":"IJISSS.2018040102-22","doi-asserted-by":"publisher","DOI":"10.1006\/jmbi.2001.4580"},{"key":"IJISSS.2018040102-23","doi-asserted-by":"publisher","DOI":"10.4018\/IJISSS.2017010104"},{"key":"IJISSS.2018040102-24","doi-asserted-by":"crossref","unstructured":"Kim, H.-C., Pang, S., Je, H.-M., Kim, D., & Bang, S. Y. (2002). Pattern classification using support vector machine ensemble. Paper presented at the 16th International Conference on Pattern Recognition.","DOI":"10.1007\/3-540-45665-1_31"},{"issue":"2","key":"IJISSS.2018040102-25","first-page":"2","article-title":"Data mining: Digging for healthcare gold.","volume":"23","author":"K.Kincade","year":"1998","journal-title":"Insurance & Technology"},{"issue":"2","key":"IJISSS.2018040102-26","first-page":"65","article-title":"Data mining applications in healthcare.","volume":"19","author":"H. C.Koh","year":"2011","journal-title":"Journal of Healthcare Information Management"},{"key":"IJISSS.2018040102-27","unstructured":"Kohavi, R., & Sahami, M. (1996). Error-Based and Entropy-Based Discretization of Continuous Features. Paper presented at the KDD."},{"issue":"2","key":"IJISSS.2018040102-28","article-title":"Data preprocessing for supervised leaning.","volume":"1","author":"S. B.Kotsiantis","year":"2006","journal-title":"International Journal of Computational Science"},{"key":"IJISSS.2018040102-29","doi-asserted-by":"publisher","DOI":"10.1080\/14639230210153749"},{"key":"IJISSS.2018040102-30","doi-asserted-by":"publisher","DOI":"10.1164\/ajrccm.161.1.9802048"},{"key":"IJISSS.2018040102-31","first-page":"15","author":"E.Lund","year":"2008","journal-title":"Clinical epidemiology and liver testing"},{"key":"IJISSS.2018040102-32","doi-asserted-by":"crossref","unstructured":"Metz, C. E. (1978). Basic principles of ROC analysis. Paper presented at theSeminars in Nuclear Medicine.","DOI":"10.1016\/S0001-2998(78)80014-2"},{"issue":"1","key":"IJISSS.2018040102-33","first-page":"58","article-title":"The use of certainty factor with multiple rules for diagnosing internal disease.","volume":"1","author":"A.Munandar","year":"2012","journal-title":"International Journal of Application or Innovation in Engineering & Management"},{"key":"IJISSS.2018040102-34","unstructured":"Network, G. A. (2014). The Global Asthma Report; 2014."},{"key":"IJISSS.2018040102-35","doi-asserted-by":"crossref","unstructured":"Prasadl, B., Prasad, K., & Sagar, Y. (2011). An approach to develop expert systems in medical diagnosis using machine learning algorithms (asthma) and a performance study.","DOI":"10.5121\/ijsc.2011.2103"},{"key":"IJISSS.2018040102-36","author":"D.Pyle","year":"1999","journal-title":"Data preparation for data mining"},{"key":"IJISSS.2018040102-37","doi-asserted-by":"publisher","DOI":"10.1142\/6604"},{"issue":"3","key":"IJISSS.2018040102-38","article-title":"Development of a fuzzy decision support system to determine the severity of obstructive pulmonary in chemical injured victims.","volume":"23","author":"T.Samad-Soltani","year":"2015","journal-title":"Acta Informatica Medica"},{"issue":"3","key":"IJISSS.2018040102-39","first-page":"224","article-title":"Data mining and analysis: Reporting results for patients with asthma.","volume":"9","author":"T.Samad Soltani","year":"2015","journal-title":"Payavard Salamat"},{"issue":"3","key":"IJISSS.2018040102-40","article-title":"Applying k-nearest neighbour in diagnosing heart disease patients.","volume":"2","author":"M.Shouman","year":"2012","journal-title":"International Journal of Information and Education Technology (IJIET)"},{"issue":"2","key":"IJISSS.2018040102-41","article-title":"Automatic detection of erythemato-squamous diseases using K-Nearest Neighbor Algorithm.","volume":"2","author":"T. 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