Mathematical modeling of the course of acute brain injury in urban population using artificial neuronic nets programs

Authors

  • Sergey Semisalov Gorkiy Donetsk National Medical University, Donetsk, Ukraine

Keywords:

traumatic brain injury, clinical and epidemiological research, mathematical modeling

Abstract

During the selective working of clinico-epidemiological analyze about CCT in city Doneck for 1996-1999 years on the base of 9267 searches.The received information with the help of artificial neuronic nets enable us to do the mathematical model of CCT and to carry on the prognosis of injury develop-ment for the period of each three months of 2000 year. Comparing the prognoses data the real ones, one can consider that the received data really determine (the intermediate common error of the prognosis is 11,2%) injury development for the nearest 3-months period, that is the short term prognosis with the help of artificial neuronic sets is quite basically done and acceptable.

Using the latest accounting technology like artificial neuronic nets enable us prognosing CCT development to optimize the work of the medical service at giving the effective and first medical aid to the injured men.

References

Клиническое руководство по черепно-мозговой травме / Под ред.А.Н.Коновалова, Л.Б.Лихтермана, А.А.Потапова. — М.: Антидор, 1998.—Т.1. — 550 С.

Лебедев В.В., Крылов В.В. Неотложная нейрохирургия : Руководство для врачей. — М.: Медицина, 2000. — 568 с.

Морозов А.Н. Исторические предпосылки и некоторые современные аспекты нейрохирургической помощи в Украине при острой черепно-мозговой травме// Бюл.УАН. — 1998. — Вип.7. — С.90 — 93.

Семисалов С.Я., Семенова Т.В. Краткосрочный прогноз развития острой черепно-мозговой травмы у взрослого населения г. Донецка// Укр. мед. альм. — 2000. — Т.3, №4. — С.184—187.

Федяев О.И., Гладунов С.А., Прокофьев А.В. Прогнозирование временных рядов на основе нейросетевых и нечетких моделей // Наукові праці Донецького державного технічного університету. Серія: Проблеми моделювання та проектування динамічних систем. — Донецьк: ДонДТУ, 1999. — Вип.10.— С. 38 — 43.

Downloads

How to Cite

Semisalov, S. Mathematical modeling of the course of acute brain injury in urban population using artificial neuronic nets programs. Ukrainian Neurosurgical Journal, (4), 108–111. Retrieved from https://theunj.org/article/view/53905

Issue

No. 4 (2001)

Section

Original articles

License

Copyright (c) 2001 Sergey Semisalov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Ukrainian Neurosurgical Journal abides by the  CREATIVE COMMONS copyright rights and permissions for open access journals.

Authors, who are published in this Journal, agree to the following conditions:

1. The authors reserve the right to authorship of the work and pass the first publication right of this work to the Journal under the terms of Creative Commons Attribution License, which allows others to freely distribute the published research with the obligatory reference to the authors of the original work and the first publication of the work in this Journal.

2. The authors have the right to conclude separate supplement agreements that relate to non-exclusive work distribution in the form of which it has been published by the Journal (for example, to upload the work to the online storage of the Journal or publish it as part of a monograph), provided that the reference to the first publication of the work in this Journal is included.