[Use of fuzzy models for predicting post-surgery complications in urological patients].
Use of modern information technologies in combination with fuzzy decision logic makes it possible to generate prognostic models for high-confidence determination of the risk of post-surgery complications in urological patients. Problems of use of automated decision support systems based on fuzzy models for improving the accuracy of prediction of post-surgery complications in urological patients are discussed.
S P
SP
Seregin
S D
SD
Dolzhenkov
L V
LV
Starodubtseva
A V
AV
Novikov
S S
SS
Demchenko
D V
DV
Meshkovskiĭ
D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D003658:Decision Making, Computer-Assisted; D017143:Fuzzy Logic; D006801:Humans; D008297:Male; D008954:Models, Biological; D011183:Postoperative Complications / Q000175:diagnosis*; D011379:Prognosis; D011470:Prostatic Hyperplasia / Q000601:surgery; D020728:Transurethral Resection of Prostate / Q000009:adverse effects; D014570:Urologic Diseases / Q000601:surgery*; D013520:Urologic Surgical Procedures / Q000009:adverse effects*