Discarnation and interactive variables as conditions for disease

Evidence-based medicine is currently founded in probability-based statistics and attempts to extrapolate what is the case for the collective to individual patient diagnosis and treatment. This study uses fuzzy measures to find structure in individual patient data and suggests that interactions, as they exist in nature as variables that are combinatorialy represented in the unique person, are only captured by fuzzy measures. If pathology and physiology are biologically relevant in the individual patient system, fuzzy measures may be more appropriate, or at least appropriate in addition to statistical analysis for medical clinical studies.