[Mathematical modelling and the prognosis of treatment efficacy in papillomavirus infection of the cervix uteri].
In this paper, consideration is given to the problem of mathematical modelling, diagnosis and effects of treatment options on the condition of a patient exposed to papillomavirus infection. The problem is tackled of identifying the most prominent signs of degree of severity of the disease course and of therapy efficiency on the basis of parameters characterizing the immunologic vigor with making use of the covariation matrix eigenvalues algorithm, namely the modelling manifolds algorithm. Such an approach allows the central problem of classification of indices for the immunologic vigor to be settled. A mathematical model as discrimination surface to be used for prediction of results of the treatments administered is constructed.
Lakatosh
V P
VP
Lazarenko
L M
LM
Lianenko
L O
LO
Iurachkivs'kyĭ
Iu P
IuP
Iatsenko
V O
VO
D000465:Algorithms; D000998:Antiviral Agents / Q000627:therapeutic use*; D005260:Female; D006801:Humans; D008954:Models, Biological; D027383:Papillomaviridae; D030361:Papillomavirus Infections / Q000175:diagnosis* / Q000188:drug therapy* / Q000276:immunology; D011230:Precancerous Conditions / Q000175:diagnosis / Q000188:drug therapy / Q000276:immunology; D011379:Prognosis; D014412:Tumor Virus Infections / Q000175:diagnosis* / Q000188:drug therapy* / Q000276:immunology; D002577:Uterine Cervical Diseases / Q000175:diagnosis* / Q000188:drug therapy* / Q000276:immunology; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis / Q000188:drug therapy / Q000276:immunology; D002578:Uterine Cervical Dysplasia / Q000175:diagnosis / Q000188:drug therapy / Q000276:immunology
D000998:Antiviral Agents