A Computational Model Approach for a Lifestyle Disorder

Abstract

Hypertension is known to be one of the most common medical and lifestyle disorders, signalized by the elevated levels of blood pressure, that is systolic and diastolic blood pressures more than 140 mm/Hg and 90 mm/Hg, respectively, associated with the various risk factors for cardiovascular diseases, chronic kidney disease, and some of the neurodegenerative diseases. Major lifestyle parameters such as lack of physical activity, high concentration of salt in diet, alcohol consumption, smoking, stress, and high weight are significantly related to this disease. Computational models of physiological frameworks can significantly help with our comprehension of the frameworks under study and can likewise be utilized in educating and examination apparatuses. Computational models can supplement exploratory and clinical investigations, yet additionally challenge flow standards, reclassify our comprehension of systems driving lifestyle, and shape future research.