N.N. Bahtadze - Dr. Sc. (Eng.), Professor, V.A. Trapeznikov Institute of Control Sciences of RAS (Moscow) V.M. Belenkiy - Dr. Sc. (Eng.), Associate Professor, State Academy of Fire Security of Emergency Situations Ministry RF (Moscow). E-mail: av35740@akado.ru

A system of dynamic modeling and decision-making support for specialist doctors based on modern mathematical methods is proposed. Based on intelligent analysis of the content of a global database, the system will dynamically generate the inductive knowledge for different aspects of diagnosis and treatment of cancer. The system in essence will model the decision-making process to guide «a human operator», which in this case is a doctor who consciously or sub-consciously analyses the situation and makes decisions based on his or her professional knowledge and experience. However, even the most genius doctor is physically unable to process the information volume of such proportions and do the multiple factor analysis as deep as his or her assistant - an intelligent computerized system, which is able to instantly focus on the specific developing situation while considering all prior history, and produce a model and a prognosis. All of that said, the system will propose various options for solution; the decision on which solution to go with is still up to the human.

 

1. Dzharratano Dzh., Rajjli G. EHkspertnye sistemy: principy razrabotki i programmirovanie. M.: Viljams. 2007. 1152 s.
2. Nikitaev V.G., Berdnikovich E.JU., Venediktov O.A.i dr. EHkspertnaja sistema onkologicheskojj diagnostiki opukholejj zheludochno-kishechnogo trakta / Moskovskijj inzhenerno-fizicheskijj institut (gosudarstvennyjj universitet), Rossijjskijj onkologicheskijj nauchnyjj centr im. N.N. Blokhina RAMN. Nauchnaja sessija MIFI-2007. T. 1. S. 252-256.
3. Zabolotnyjj D.I., Lysenko JU.G., Kizim V.V. Nejjrosetevye ehkspertnye sistemy v onkologicheskojj praktike // GU «Institut otolaringologii im. prof. A.I. Kolomijjchenko AMN Ukrainy», Doneckijj Nacionalnyjj medicinskijj un-t im. M. Gorkogo // Rinologіja. 2011. № 2. S. 63−70.
4. Schumacher M., Graf E., Gerds T.Howtoassessprognosticmodelsforsurvivaldata: acasestudyinoncology // MethodsInf. Med. 2003. V. 42. № 5. P. 564−571.