Predicting hypertension without measurement: A non-invasive, questionnaire-based approach

•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 used to analyze other chronic diseases.