Low-variation methods of diagnosis and therapy of the patient and their application in information medicine
AUTHORS : Mkhitaryanone K.N. | Akaeva T.V. | Vasilkovskaya2 O.V. | Gotovskyone M.Yu.
RELEVANT UNIVERSITIES : Center for intelligent medical systems “IMEDIS”, Moscow; 2Clinic “Vitamed-plus”, Gabrovo, Bulgaria
YEAR : 2018
SUMMARY The paper substantiates the possibility of conducting a correct, from the point of view of evidence-based medicine, clinical research within the framework of an informational approach to diagnosis and therapy. For this purpose, the concepts of low-variability and closed algorithms for diagnostics and therapy have been introduced. It is shown that, within the framework of the informational approach, the
use of closed low-variability algorithms for diagnostics and therapy is a strict
methodological analogue of taking certain allopathic drugs within the framework of an
orthodox academic research. Examples of clinically effective closed low-variance
algorithms for diagnostics and therapy are given.
