Ilenia Centonze
A Novel Approach For Blood Pressure Prediction Using Machine Learning Techniques.
Rel. Carla Fabiana Chiasserini, Guido Pagana. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2021
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Abstract
Sedentary lifestyle, unbalanced diet, stress and alcohol abuse are the risk factors of many diseases of worldwide population. Among them hypertension is known as ”the silent killer” being the leading cause of premature death according to World Health Organization (WHO). Hypertension is the primary cause of the development of cardiovascular, kidney and brain diseases. After the development of a pathological cardiovascular condition in which blood pressure is constantly too high, the subject does not manifest immediately significant symptoms, and that is why it often leads to further complications. Although the data show a particularly high incidence (1 in 5 women and 1 in 4 men) hypertension is a risk condition widely preventable and modifiable through interventions on the population and individuals at high risk.
Thus, it is an objective of contemporary studies to use the most efficient and innovative technologies that allow society to prevent and monitor the risks and the progress of the problem
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