A Predictive Model for Hypertension Diagnosis Using Machine Learning Techniques
Muhammad Ali Javed Tengnah, Raginee Sooklall, and Soulakshmee Devi Nagowah
Department of Software and Information Systems, Faculty of Information, Communication and Digital Technologies, University of Mauritius, Réduit, Mauritius
Hypertension, a non-communicable disease, is considered to be one of the biggest contributors to the global death rate and according to the latest data published in May 2014 by the World Health Organization (WHO), death rate by hypertension has reached up to 6.39%. This chapter presents a predictive model for diagnosing hypertension. The predictive model is composed of the Hypertension Diagnosis model (HD), ...
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