A structural representation of anticipatory thought process using the example of clinical medicine and the physician

Causation is one subject of science. It is also that of medicine because the physician aims to cause change in the clinical course of the ill patient. Scientific clinical medicine has adopted the view that cause is determined by observations then subjected to analysis. The method adopted for the analysis is probability theory. Probability measures generate numerically precise predictions. But, whereas this method commits prediction to the group level, the physician must treat the individual patient. In this paper we take a different approach to how the physician, prior to the application of group level evidence, and without accepting chance, thinks about causation. The causal analysis concerns the process itself of clinical course in the patient. We use the unit hypercube and fuzzy subsethood to formally capture the principles of both the physician's thought process and the dynamic of the clinical course of the patient.