Hypertension is a major public health problem because of its high ubiquity among around the world. Now a days, hypertension in young adults is very common. It is because of the increase in lifestyle behaviors with advancement of technology and better standard of living. The factors responsible for hypertension among young adults are unspecified. The risk of hypertension is very high among young adults as it contributes to an early onset of coronary heart diseases, stroke and ephemeral ischemic attacks.

The work mainly focuses on the identification of major factors leading to hypertension in young adults and to develop a computational model for determining hypertension. Data collection is carried out among young adults in the community through clinical tests. A set of Questionnaires are prepared based on the study to analyze what are the risk factors for hypertension. Statistical analysis is done to identify the major contributing risk factors and Network-Oriented Modeling based on Temporal-Causal Network (TCN) is used for preparing the computational model for hypertension.

The novelty of this paper is the usage of Temporal-Causal network modeling, which helps in depicting and cope- with causal dependencies propagation over time. With the help of Statistical analysis and Network-Oriented Modeling using TCN, facets leading to hypertension among young adults are identified and progression of the disease is modelled.

Keywords: Hypertension, Ischemic attacks, Statistical analysis, Network-Oriented Modeling, Temporal-Causal Networks.