CREATION OF THE PROGRAM FOR NEUROLOGY DECEASES DIFFERENTIAL DIAGNOSTICS BY MEANS OF THE POTENTIAL FUNCTIONS METHOD

Authors

  • V. Z. Stetsyuk National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
  • A. J. Savytskyy National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
  • T. P. Ivanova National children specialized hospital "OKHMATDYT"
  • H. M. Fedushka National children specialized hospital "OKHMATDYT"
  • A. O. Ostapova National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"

DOI:

https://doi.org/10.11603/mie.1996-1960.2016.4.7061

Keywords:

neurology, informatization, differential diagnostics, symptom, hypothesis, recognition model, potential functions method, user interface.

Abstract

Informatization in medicine offers many opportunities to enhance quality of medical support, accuracy of diagnosis and provides usage of accumulated experience. Modern program systems are represented as additional tools to get appropriate advice.

This article offers the way to provide help for neurology department doctor of NCSH "OKHMATDYT" during diagnosis determining. Decision has been made to design the program system for this purpose based on differential diagnostic model.

The key problems in differential diagnosis are symptoms similarity between each other in one disease group and the absence of key symptom. Thus, we need the differential diagnostic model. It is built using the potential function method in characteristics space. Such space of characteristics is formed by 26 points - patients with their symptoms.

The main feature of this method is decision function, building during recognition step united with learning, which became possible with modern powerful computers.

References

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Published

2017-03-15

How to Cite

Stetsyuk, V. Z., Savytskyy, A. J., Ivanova, T. P., Fedushka, H. M., & Ostapova, A. O. (2017). CREATION OF THE PROGRAM FOR NEUROLOGY DECEASES DIFFERENTIAL DIAGNOSTICS BY MEANS OF THE POTENTIAL FUNCTIONS METHOD. Medical Informatics and Engineering, (4), 49–53. https://doi.org/10.11603/mie.1996-1960.2016.4.7061

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Section

Articles