Data Mining of Medical records by the Apriori Algorithm using WEKA tool
B.Dhanalakshmi
Assistant Professor ,Department of Information Technology KGiSL Institute of Technology-Coimbatore , IN
Keywords: Data Mining; Apriori Algorithm; WEKA tool
Abstract
Apriori algorithm is an association rule mining algorithm, with lot of applications, as it is easy to use.
Apriori algorithm is best to find frequently occurring patterns. This paper uses Apriori algorithm to build medical
record analysis of patients with different disease. Medical records analysis plays important role diagnosing a patient.
Medical record analysis is the process of organizing, summarizing, and analyzing medical records by engaging people
with the help of software which takes medical data and gives an output representing all possibilities of cause and
effects of the disease. The medical record analysis process, when performed effectively, helps improving trial outcomes
of attorneys and settlement results. By data mining based on Apriori algorithm, we can analyze the characteristic of a
specific syndrome. Thus paving way for prevention and precaution methods. Weka tool provides effective algorithms
and accurate results of analysis of large amount of data. In this paper we are using weka tool to analyze medical
records of patients and produce a chart structure depicting the analysis results.
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