Faculty of Physics
M.V.Lomonosov Moscow State University
Menu
Regular Article

A comparative analysis of the efficiency of probabilistic and possibilistic algorithms for medical diagnostics

Yu.P. Pyt’ev$^1$, V.A. Gazaryan$^{1,2}$, P.B. Rosnitskiy$^3$

Moscow University Physics Bulletin 2014. 69. N 3. P. 210

  • Article
Annotation

Mathematical methods for pattern recognition and algorithms for the classification of diseases based on them are widely used to solve problems of medical diagnostics [1]. In [2], in order to classify functional disorders of the gastrointestinal tract, an algebraic model of the Kora algorithm was applied. In [3–5] it was shown that to solve many problems of medical diagnostics possibilistic methods for making a medical diagnosis are much more efficient. The present work considers a comparative analysis of probabilistic and possibilistic models of diagnostics, as well as Kora algorithms and the results of their application to solving problems of acute appendicitis diagnostics.

Received: 2014 January 23
Approved: 2014 September 11
PACS:
02.70.-c Computational techniques; simulations
02.50.Le Decision theory and game theory
Authors
Yu.P. Pyt’ev$^1$, V.A. Gazaryan$^{1,2}$, P.B. Rosnitskiy$^3$
$^1$Department of Physics, Moscow State University, Moscow, 119991, Russia
$^2$Department of Applied Mathematics and Information Technologies, Moscow, Russia
$^3$Financial University under the Government of the Russian Federation, Moscow, 125993, Russia
Issue 3, 2014

Moscow University Physics Bulletin

Science News of the Faculty of Physics, Lomonosov Moscow State University

This new information publication, which is intended to convey to the staff, students and graduate students, faculty colleagues and partners of the main achievements of scientists and scientific information on the events in the life of university physicists.