Studies on frequency distribution analysis of autonomously regulated biological data
Author(s):
Manfred Doepp
The frequency distribution of biological data may be approximated by a lognormal curve (physiologically) or by a normal=bell-curve (pathologically). For the analysis of the data are in use the Chi-square and the Kolmogorov-Smirnov tests. In 325 patients with 15 different diagnoses we examined the tendencies of these groups towards (a) a chaotic or (b) a rigid state of the organism regulations. E.g.: active cancer usually is chaotic, however, this is imitated by allergies and auto-aggressions. In case of sclerosis two types exist. Stress leads to rigidity. An index for the best discrimination is evaluated and diagnostic ranges are assigned. The results display the relevance of this system analysis of the human network in medicine.