Bioengineering System for Prediction and Early Prenosological Diagnostics of Stomach Diseases

Research conducted by scientists from several academic communities has shown that one possible approach to prediction and early detection of various diseases, including stomach diseases, is reflex diagnostics. This approach is based on measuring energetic characteristics of biologically active points (BAPs).

One of the advantages of reflex diagnostic methods is the fact that the response of BAPs to the change in the internal structure of the human body occurs prior to the clinical presentation of a disease. This allows us to detect and treat diseases in their earliest stages and sometimes even avert diseases by taking certain preventive measures. At the same time medical, technical, and time-related costs for arranging research are significantly lower in comparison with traditional approaches.

One of the important tasks connected with generating decisionmaking rules is informative feature selection and, in particular, selecting informative BAPs.

Selecting informative BAPs will be more effective if we take into account the way information about the condition of internal structures on these BAPs is displayed. The aforementioned features of “displaying” information include the transmission of a large volume of information (multiple diagnoses, symptoms, and syndromes) to one BAP; cyclic changes of the energetic condition of BAPs during the day even for the normal meridian energy balance; a large amount of data, which has to be analyzed if a pathology is unknown in advance.