Studies of clinical hemorheological data over the past three decades clearly signal a relationship between diseases (esp. cardiovascular disorders) and various hemorheological parameters. However, the literature related to these diseases doesn’t even mention hemorheology as a possible tool of diagnosis, treatment, or prognosis. It is probably because most such studies have been 2-point determinations of hemorheological parameters in a few human volunteers in which several parameters also likely to affect blood viscosity have not been monitored. Thus, their findings have been inconclusive, often contradictory and hence not clinically useful. Our study presents the statistical analysis and mathematical modeling of a vast database, consisting of 1168 records of individuals, collected over a five-year period, each comprising 39 health-indicating parameters-biochemical, hemorheological, and clinical in normal and diseased persons. The results of multivariate regression of data subsets in male and female, further classified into normal, pre-hypertensive and hypertensive- suggest that there exists a definite degree of association between BP, specific hemorheological and other biochemical parameters related to blood. These relationships have been derived here in the form of specific mathematical equations, which vary among each of the subgroups. The role of each variable has been determined in terms of its contribution to the variability it caused in the response variable. The adjusted R2 of each derived model has also been determined and models with adjusted R2 above 0.38 are reported and are found to be clinically relevant. This exploratory study might suggest ways of applying innovative mathematical modeling to biomedical data so as to draw scientifically robust and clinically meaningful conclusions from it. It also points to the need of identifying additional parameters that might be implicated in HT and which have not been covered in this study.