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Computer model of the course of tumor process after the treatment

Michael Shoikhedbrod


The development of model of course of tumor process after the treatment and prognosis of the results of treatment of the malignant new formations is a very important and vital problem of clinical oncology. The improvement of the existing methods of treatment and the development of new methods require the determination of the effective estimation of these methods. In this paper is presented the developed computer model of course of tumor process using the individualize precise prognosis. The use of a computer interpolation prognosis in the studies of the tumor new formations of lung, of the women and men breast cancer, of cancer of egg, permitted to create the medico-mathematical model of tumor, which numerically reflects all laws of the course of tumor process after the conducted treatment. The course of tumor process after the carried out treatment is accompanied by the splash appearance of the first metastases and relapses in the group of the treated patients, and the time of the maximum number of patients of splash depends both from tumor itself and from the selection of the method of treatment. The computer interpolation prognosis proved the possibility of its use for determining the effectiveness of the used methods of treatment of the oncological patients. The conducted investigations using the computer interpolation prognosis showed the meaningful result of this prognosis wide practical realization. On the basis of obtained results the procedure, which permits to plan the optimum tactics of postoperative patient management, to select the periods of test survey and regimes of the preventive treatment of oncological patients, was developed. The results of scientific research permitted not only to reduce frequency, but also to considerably move aside the periods of the appearance of metastases. The obtained results became the basis for conducting the number of practical arrangements for periodic clinical observation and examination of oncological patients for the purpose of an improvement of the distant results of treatment.

Keywords: the medico-mathematical model of tumor, computer interpolation individualize precise prognosis, generalization of tumor process after the treatment, individual approach to the monitoring and postoperative treatment of patients, selection of the periods of test survey and regimes of the preventive treatment of oncological patients, estimation of effectiveness of the used methods of treatment

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Delen D., Walker G., Kadam A. Predicting breast cancer survivability: a comparison of three data

mining methods. Artificial Intelligence in Medicine. 2005, 34, 2, 113-127

De Laurentiis M., De Placido S., Bianco A.R., Clark G.M. and Ravdin P. A Prognostic Model That Makes Quantitative Estimates of Probability of Relapse for Breast Cancer Patients. Clinical Cancer Research.1999, 5, 12

Mangasarian O.L., Street W. N., Wolberg W.H. Breast Cancer Diagnosis and Prognosis Via Linear Programming. Operations Research. 1995, 43, 4

Brenevick N., Schwarz R.F., Gerstung M., Markowetz F. Cancer Evolution: Mathematical Models and Computational Inference. Syst. Biol.2015, 64 (1)

Shoikhedbrod M.P. Computer modeling and the new technologies in oncology. Lambert Academic publishing. Toronto, 2017

Enderling H., Chaplain M.A.J Mathematical Modeling of Tumor Growth and Treatment. Current

Pharmaceutical Design.2014, 20, 00

Akhmedov B.P., Shoikhedbrod S.P., Shoikhedbrod M.P., Chernovsky A.K Medical and mathematical

modeling of generalization processes for malignant neoplasm’s. Metastatic spreading of malignant tumors

new approaches. Preprints of the Reports at the 1ts All-Union Symposium. Kiev, 1991

Akhmedov B.P., Akhmedova Sh.B The results of the application of special mathematical methods of study

on the computer in the study of prognostication and modeling of the processes of the generalization of

malignant new formations. Tashkent, 2002


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