This paper proposes the use of two dimensional display of pathophysiological state of patients based upon the results of discriminant analysis using multiple laboratory data in order to recognize the state of patients objectively and visually. To this purpose we studied pathophysiological states of patients with gout and patients with diabetes mellitus in contrast with states of healthy subjects and derived several state-planes which gives optimal representations on differences between disease states. It is worth noting that these three groups(gout, diabetes mellitus and healthy subjects)were clustered well into three groups on this sort of plane without disease-specific parameters, i. e., serum uric acid level to gout and serum glucose level to diabetes mellitus.