• A.Prettekha
• Dr.Pothula Sujatha
• S.Shanmugapriya

Electronic health records (EHR) are rapidly becoming more casual among healthcare industries. Using data mining the healthcare suppliers enhance the proficiency of their organization by retrieving huge volumes of patients data from it. Data mining helps the healthcare industries to improve care and reduce costs. The tools used in the data mining examines the symptoms, causes, and treatment and determines which action will be effective for the patient. In this paper 5 classification algorithms are applied to patients dataset obtained from the UCI machine learning repository. These algorithms are applied to a data mining tool ‘WEKA' and the results are compared to determine the best classifier using performance metrics.

Data mining, electronic health records, classification algorithms

"Review on Classification algorithms in healthcare ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.455-461, November-2018, Available :http://www.jetir.org/papers/JETIR1811A56.pdf

"Review on Classification algorithms in healthcare ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp455-461, November-2018, Available at : http://www.jetir.org/papers/JETIR1811A56.pdf