Chaos in Human Beings: An Aid for Medical Decision Making

Physiologically the frequency distribution of biological data of living systems may be approximated by a lognormal curve, pathologically by a normal = bell curve. The Chi-square and the Kolmogorov-Smirnov tests are used for the data analysis. A chaos is the most frequent abnormal result. We investigated in 492 chaotically regulated patients 6 important diagnoses: Chronic Fatigue Syndrome, Guillain-Barré-Syndrome, allergy, auto-aggression, cancer, and neurosis. The application of Bayes` theorem allowed the calculation of probabilities. In this way in medical decision making suspicion diagnoses may be strengthened or weakened, or a new tentative diagnosis arises. The problem of cancer is discussed. Our results display the relevance of this system analysis of the human network in medicine. Key-Words: Chaos, frequency distribution analysis, medical decision making