RISK MODELING OF SURGICAL TREATMENT OF MUSCLE-NON-INVASIVE BLADDER CANCER USING THE METHOD OF APPROXIMATION IN SHEPARD
The study was conducted as a single-center, randomized, open, retrospective, observational, cohort clinical, which was attended by 896 patients with muscle- non-invasive (Ta, T1 and Tis) bladder cancer. With respect to 256 (28,6 %) patients (group A) used bipolar technology endo-urethral removal of bladder tumors in 0,9 % solution of NaCl (TURis-vap), and 640 (71,4 %) patients (group B) were operated using the reference method – monopolar transurethral resection and vaporization (TUR-vap) bladder tumors. The possibilities and limitations of using Shepard's method, the risks of surgical treatment of bladder cancer was modeled. For a number of indicators (total number of complications) models have pretty good performance with a minimum amount of «cleaning». For other indicators (term recurrence) model approximation by Shepard have a very poor quality and require much more thorough procedure of processing raw data. Carrying out the procedure of «cleaning» can significantly improve the accuracy of the approximation models created by Shepard. To achieve acceptable accuracy (≥ 80 %) there was needed to remove an average of about 40 % of raw data samples. Further cleaning undertake will allow to create models with accuracy that exceeds 95 %.