Predicting hypertension without measurement: A non-invasive, questionnaire-based approach-Reference-Cited by-同舟云学术

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

Published:2015-11 Issue:21 Volume:42 Page:7601-7609
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Aiguo,An Ning,Chen Guilin,Li Lian,Alterovitz Gil

Funder

Ministry of Education and State Administration of Foreign Experts Affairs

International S&T Cooperation Program of China

Natural Science Foundation of China

Ministry of Education

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference42 articles.

1. Determination of risk factors for hypertension through the classification tree method;Akdag;Advances in Therapy,2006

2. Artificial neural networks in medical diagnosis;Amato;Journal of Applied Biomedicine,2013

3. Data mining techniques;Berry,1997

4. Bayesian statistics as applied to hypertension diagnosis;Blinowska;IEEE Transactions on Biomedical Engineering,1991

5. Diagnostica–A Bayesian decision-aid system-applied to hypertension diagnosis;Blinowska;IEEE Transactions on Biomedical Engineering,1993

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