Biotechnical measurement and software system for the prediction and diagnosis of osteochondrosis of the lumbar region with the use of fuzzy logic rules.
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.
Al-Balqa Applied University, Amman, Jordan. rjordanjo@mail.ru
Riad
R
Al-Kasasbeh
Nikolay
N
Korenevskiy
Florin
F
Ionescu
Mahdi
M
Alshamasin
Andrew P
AP
Smith
Abdullah
A
Alwadie
D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D017143:Fuzzy Logic; D006801:Humans; D008159:Lumbar Vertebrae; D055034:Osteochondrosis; D010363:Pattern Recognition, Automated / Q000379:methods*; D011379:Prognosis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D055035:Spinal Osteochondrosis / Q000175:diagnosis*