Статья 'Механизм вывода диагностического решения в дистанционной медицинской экспертной системе предварительной диагностики' - журнал 'Кибернетика и программирование' - NotaBene.ru
по
Journal Menu
> Issues > Rubrics > About journal > Authors > About the Journal > Requirements for publication > Council of Editors > Peer-review process > Policy of publication. Aims & Scope. > Article retraction > Ethics > Online First Pre-Publication > Copyright & Licensing Policy > Digital archiving policy > Open Access Policy > Open access publishing costs > Article Identification Policy > Plagiarism check policy
Journals in science databases
About the Journal

Публикация за 72 часа - теперь это реальность!
При необходимости издательство предоставляет авторам услугу сверхсрочной полноценной публикации. Уже через 72 часа статья появляется в числе опубликованных на сайте издательства с DOI и номерами страниц.
По первому требованию предоставляем все подтверждающие публикацию документы!
MAIN PAGE > Back to contents
Cybernetics and programming
Reference:

Mechanism of inference a diagnostic solutions in remote medical diagnosis expert system of preliminary diagnosis

Le Vien Nguen

PhD student, Department of Computer Aided Design and Exploratory Design, Volgograd State Technical University

400005, Russia, g. Volgograd, ul. Pr. Im., 50

nvien.vstu@gmail.com
Другие публикации этого автора
 

 

DOI:

10.7256/2306-4196.2015.1.13722

Review date:

18-11-2014


Publish date:

20-01-2015


Abstract: The article describes an approach in management of diagnostic solutions inference in a medical diagnosis expert system. The study reviews the features of the software implementation of presented models and algorithms. The author proposes a combination of the reverse and direct inference for diagnostic solutions. At reverse deduction requesting new information from the patient requires generation of additional questions on the leading symptom. At the same time, the direct inference allows calculation of the output integral estimates of detection of possible diseases at the onset of symptoms. To output decisions under uncertainty the Mamdani fuzzy model is applied. The author proposes a RETE-network for generating a diagnostic solution in a reasonable time. The described mechanism of inference a diagnostic solutions has the following advantages: it allows the direction of reasoning on the most promising ways of obtaining a diagnosis  and determines the correct order questions on leading symptoms; it allows the diagnosis under uncertainty in information on symptoms and does not stop though the diagnostic decision may not be accurate; it allows to set a preliminary diagnosis in real time and makes a conclusion in a reasonable time after the symptoms have been entered.


Keywords: medicine, diagnostics, expert system, knowledge base, frames, production rules, output mechanism solutions, direct inference, reverse deduction, RETE-network
This article written in Russian. You can find full text of article in Russian here .

References
1.
Smolin, D. V. Vvedenie v iskusstvennyi intelekt: konspekt lektsii / D. V. Smolin – M.: Fizmatlit, 2004. – 208 s.
2.
Rete algorithm [Elektronnyi resurs]. – Rezhim dostupa: http://en.wikipedia.org/wiki/Rete_algorithm (data obrashcheniya: 06.11.2014).
3.
Le, Nguen Vien Model' predstavleniya znanii pri sozdanii meditsinskoi ekspertnoi sistemy differentsial'noi diagnostiki / Le Nguen Vien, V. A. Kamaev, D. P. Panchenko, O. A. Trushkina // Izvestiya VolgGTU: mezhvuz. sb. nauch. st. №6 (133) / VolgGTU. – Volgograd: VolgGTU, 2014. – C. 41-50. – (Aktual'nye problemy upravleniya, vychislitel'noi tekhniki i informatiki v tekhnicheskikh sistemakh ; vyp. 20).
4.
Povoroznyuk, A. I. Kontseptual'naya model' ob''ekta diagnostiki v komp'yuternykh sistemakh meditsinskoi diagnostiki / A. I. Povoroznyuk // Sistemi obrob. іnformatsії. – 2007. – Vip. 9. – S. 133-136.
5.
Korukhova, L. S. Programmnye sredstva realizatsii assotsiativnogo planirovaniya / L. S. Korukhova, E. Z. Lyubimskii, V. V. Malyshko // preprint IPM im. M. V. Keldysha RAN. – 2002. – № 10. – S. 1-29.
6.
Iancu, I. (2009a). Extended Mamdani Fuzzy Logic Controller, The 4th IASTED Int. Conf. on Computational Intelligence, ACTA Press, Honolulu, USA, pp. 143-149
7.
Bogomolov D.V., Kochoyan A.L., Martem'yanova A.A. Vozmozhnosti primeneniya immunogistokhimicheskogo metoda issledovaniya v sudebno-meditsinskoi praktike // Politseiskaya i sledstvennaya deyatel'nost'.-2014.-1.-C. 61-69. DOI: 10.7256/2306-4218.2014.1.9919. URL: http://www.e-notabene.ru/pm/article_9919.html
8.
A.S. Katasev, L.Yu. Emaletdinova Nechetko-produktsionnaya kaskadnaya model' diagnostiki sostoyaniya slozhnogo ob''ekta // Programmnye sistemy i vychislitel'nye metody.-2013.-1.-C. 69-81. DOI: 10.7256/2305-6061.2013.01.6.
9.
Le V.N., Panchenko D.P. Programmnaya realizatsiya meditsinskoi ekspertnoi sistemy differentsial'noi diagnostiki // Programmnye sistemy i vychislitel'nye metody. – 2014. – № 3. – S. 291-297. DOI: 10.7256/2305-6061.2014.3.11162
Link to this article

You can simply select and copy link from below text field.


Other our sites:
Official Website of NOTA BENE / Aurora Group s.r.o.
"History Illustrated" Website