Open AccessSome issues of mathematical forecasting in clinical practice
Author(s) -
Р. Ф. Хамитов
Publication year - 1996
Publication title -
kazanskij medicinskij žurnal
Language(s) - English
Resource type - Journals
eISSN - 2587-9359
pISSN - 0368-4814
DOI - 10.17816/kazmj90960
Subject(s) - process (computing) , mathematical model , outcome (game theory) , computer science , predictive value , value (mathematics) , pathological , risk analysis (engineering) , management science , econometrics , machine learning , operations research , statistics , mathematics , medicine , mathematical economics , engineering , pathology , operating system
The problems of reducing the incidence and increasing the effectiveness of treatment are primarily associated with the improvement of methods for early differential diagnosis and the development of new methods of influencing the pathological process [5, 40, 42]. Among the promising areas that largely contribute to the solution of this problem, an important place is occupied by the use of mathematical methods and computer technology. The possibility of mathematical modeling of the pathological process has been shown [26, 32], which contributes to the successful prediction of the characteristics of the course and outcome of the disease. Mathematical analysis allows you to choose from the often unjustifiably large number of clinical and instrumental indicators, a very small number of parameters that have real predictive value, reducing the amount of unnecessary research by 8090% [4, 11, 24, 34].