Predicting hypertension without measurement

Expert Systems with Applications: An International Journal, Volume 42, Issue 21, 2015, Pages 7601-7609.

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Keywords:
Hypertension predictionNon-invasiveQuestionnaireBehavior Risk Factor Surveillance SystemArtificial neural networks

Abstract:

A questionnaire-based, non-invasive approach is proposed to predict hypertension.We detail the selection of artificial neural networks architecture in actual use.Under-sampling with K-means algorithm is proposed to balance the dataset.Experimental results demonstrate the feasibility of the proposed approach.The proposed approach can be us...More

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