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Predicting the occurrence of essential hypertension using annual health records

Patnaik, Renuka and Chandran, Mahesh and Lee, Seung-Cheol and Gupta, Anurag and Kim, Chansoo and Kim, Changsoo (2018) Predicting the occurrence of essential hypertension using annual health records. In: 2nd International Conference on Advances in Electronics, Computers and Communications (ICAECC), FEB 09-10, 2018, Bengaluru, INDIA.

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Official URL: http://dx.doi.org/10.1109/ICAECC.2018.8479458


Essential or primary hypertension is one of the major diseases affecting health in most societies. Hypertension can be controlled if its propensity can be forecasted for an individual, allowing necessary changes to be made in life-style. In this paper, we have used the data of subjects who had no prior history of hypertension for 2 or more consecutive years and applied various classifiers to predict occurrence of essential hypertension. For experimentation, we have used medical checkup data of Korean population between 2002-2013 and achieved 80% accuracy.

Item Type: Conference Proceedings
Publisher: IEEE
Additional Information: Copy right for this article belong to IEEE
Keywords: electronic health records; bio informatics; machine learning; predictive analysis
Department/Centre: Division of Interdisciplinary Sciences > Management Studies
Date Deposited: 24 Nov 2018 14:29
Last Modified: 24 Nov 2018 14:29
URI: http://eprints.iisc.ac.in/id/eprint/61151

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