[Automatic decision support system in prognostication, diagnosis, treatment and prophylaxis of chronic prostatitis].
A great variety of subjective and objective disorders related with chronic prostatitis make difficulties in its diagnosis. The proposed principle of chronic prostatitis classification identifies 33 clinically significant variants of diagnosis by combination of classification grades. The system of fuzzy decisive rules for prediction and differential diagnosis of chronic prostatitis supports decision on the level 0.9 and higher. Use of energetic characteristics of diagnostically significant biologically active points raises quality of prognosis of the onset and exacerbation of chronic prostatitis and helps to select optimal schemes of acpuncture. Application of decision support systems for urological decision on prognosis, diagnosis, prevention and treatment of chronic prostatitis improves quality of medical aid and adequate management of patients with chronic prostatitis.
Bratchikov
O P
OP
Korenevsiĭ
N A
NA
Seregin
S P
SP
Dolzhenkov
S D
SD
Shumakova
E A
EA
Kotsar'
A G
AG
Kriukov
A A
AA
Krivovtsev
S I
SI
Popov
A V
AV
D002908:Chronic Disease; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D008297:Male; D011379:Prognosis; D011472:Prostatitis / Q000175:diagnosis* / Q000517:prevention & control* / Q000628:therapy*; D013813:Therapy, Computer-Assisted / Q000379:methods*