O. Jamsheela*

Department of Computer Science, EMEA College of Arts and Science, Kondotti Kerala, India

 

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ABSTRACT

Large quantities of information about patients have been collected in clinical databases. The data collection is started for the use of doctors but actually these information are a good input for data mining. However, the collected data contains much valuable information when it is treated as a single set of data. From the data many useful knowledge can be extracted. Most of the hospitals are nowadays keep the data of every visited patient. This data can be used to extract new knowledge associated with medical field. The association rule mining, which is one of the popular data mining techniques, can be applied on clinical databases to extract novel and potential knowledge. In this paper, analysis of results obtained from application of association rule mining on a database consisting of details of 10000 patients is presented.


Keywords: Data mining, Analysis of patients’ data, Data mining on medical data, Frequent itemset mining, Association rule mining on medical data.


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ARTICLE INFORMATION

Received: 2020-09-13

Accepted: 2021-01-21
Available Online: 2021-06-01


Cite this article:

Jamsheela, O. 2021. Analysis of association among various attributes in medical data of heart patients by using data mining methods, International Journal of Applied Science and Engineering, 18, 2020215. https://doi.org/10.6703/IJASE.202106_18(2).009

  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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