of quiescence state or peak load. For example, total peripheral vascular resistance should be maximum in quiescence state and minimum when loaded. Modern medicine makes extensive use of these kinds of due values, but is almost unfamiliar with the concept of due curves. Due value is what may be observed in most normal and healthy individuals with account taken of affiliation of a subject to certain standard group of alike subjects. If all have such-and-such value and normally exist in the given conditions, then in order for such subject to be also able to exist normally in the same conditions, he/she should be characterized by the same value. For this purpose statistical standard scales are applied which are derived by extensive detailed statistical research in specific groups of subjects. These are so-called statistical mathematical models. They show what parameters should be present in the given group of subjects. However, the use of standard tables is a primitive way of evaluation of systems 'functions. First, they provide due values ​​characterizing only a group of healthy individuals rather than the given concrete subject. Secondly, we already know that systems at each moment of time are in one of their functional states and it depends on external influences. For example, when the system is in quiescence state it is at its lowest level of functional condition, while being at peak load it is at its highest level. What do these tables suggest then? They probably suggest due values ​​for the systems of organism in quiescence state or at their peak load condition. But, after all, the problems of patients are not those associated with their status in quiescence state, and the level of their daily normal (routine) load is not their maximum load. For normal evaluation of the functional condition of the patient's organism it is necessary to use not tabular data of due values, but due curves of functions of the body systems which nowadays are almost not applied. Coincidence or non-coincidence of actual curves of the body systems 'functions with due curves would be a criterion of their sufficiency or insufficiency. Hence, application of standard tables is insufficient and does not meet the requirements of adequate diagnostics. Application of due curves is more of informative character (see below). Statistical mathematical models do not provide such accuracy, howsoever exact we measure parameters. They show what values ​​of parameters should be in a certain group of subjects alike in terms of certain properties, for example, males aged 20-30 years, of 165-175 cm height, smokers or non-smokers, married or single, paleface, yellow-or black-skinned, etc. Statistical models are much simpler than those determined, but less exact though, since in relation to the given subject we can only know something with certain degree (e.g. 80%) of probability. Statistical models apply when we do not know all elements of the syst...
