Intelligent decision support system to predict and prevent hypertension using machine learning approaches

Abstract

Medical decision support systems are receiving high interest in the newlinefield of healthcare recently. These systems aim at helping the medical newlinepractitioners to make real-time predictions. The ongoing study shows that newlinemachine learning techniques are widely incorporate to analyse and process newlinemedical data. Automated diagnosis of a non-communicable disease namely newlineHypertension and its various stages, is one of the profound areas of research newlinein medicine and biology. Due to asymptomatic nature of Hypertension as well newlineas the chronic complications it is considered as a silent killer and hence, newlinedemands early diagnosis for effective treatment. The necessity for early newlineidentification poses a potential challenge to medical experts, demanding newlinecomputational solutions. This research specifically targets to design intelligencebased newlinedecision support system towards Hypertension diagnosis, prediction and newlineprevention. newline newline