Predicting hypertension without measurement
Expert Systems with Applications: An International Journal, Volume 42, Issue 21, 2015, Pages 7601-7609.
Hypertension predictionNon-invasiveQuestionnaireBehavior Risk Factor Surveillance SystemArtificial neural networks
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
Full Text (Upload PDF)
PPT (Upload PPT)