We propose a biotech measurement scheme and software based on new features for the diagnosis of backbone osteochondrosis. Together with the traditional methods of diagnosis, the energy characteristics of biologically active points (acupuncture points, or APs) are used. This new software is based on mathematical models of the internal and biologically active points of meridian structures' interaction. The information from the APs is used in the solving rules based on fuzzy logic for decision-making, together with the factors of confidence of Shortliffe, the membership functions of Zadeh, and Kullback's informativeness measures. In terms of prognostic decision rules, clinical test shows that the quality of prediction using only the energy characteristics of APs is high, with high coefficient of confidence for the control sample as well. A check on control samples allows us to recommend the obtained results for use in medical practice as a part of corresponding systems of support for decision-making.