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An expert system supporting risk stratification in acute coronary syndromes

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Computers in Medical Applications: XIIIth Biocybernetics and Biomedical Engineering Conference (10-13 September 2003, Gdańsk, Poland)
Języki publikacji
EN
Abstrakty
EN
The aim of the project was to create a computer program, an expert system (ES), which would support physicians when a management for patients with acute coronary syndrome needs to be chosen. A knowledge database was created with the support of clinical experts, based on the current management standards. Data from new patients are added to the case database. The inference engine integrates two types of reasoning rule-based and case-based. The ES gives unambiguous and objective answers, its recommendation are reliable. At present, the ES is tested in clinical practice. Strategies recommended by the ES are compared with the management applied in a clinic.
Rocznik
Strony
281--286
Opis fizyczny
Bibliogr. 7 poz., rys.
Twórcy
autor
  • Department of Medical Informatics, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland
  • Department of Internal Diseases and Cardiology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland
  • Department of Internal Diseases and Cardiology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland
  • Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland
autor
  • Department of Medical Informatics, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland
autor
  • Department of Internal Diseases and Cardiology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland
  • Department of Medical Informatics, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland, grabm@amwaw.edu.pl
Bibliografia
  • [1] Braunwald E, Zipes D P and Libby P 2001 Heart Disease, A Textbook of Cardiovascular Medicine, WB Saunders Company, Philadelphia
  • [2] Braunwald E, Antman E M and Beasley J W 2002 ACC/AHA Guideline Update for the Management of Patients with Unstable Angina and Non-ST-segment Elevation Myocardial Infarction: a Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines, Committee on the Management of Patients With Unstable Angina, available at: http://www.acc.org/clinical/guidelines/unstable/unstable.pdf
  • [3] Lawrance J 1994 Introduction to Neural Networks. Design Theory and Applications, California Scientific Software Press, Nevada City, pp. 39–50
  • [4] Cannon C P, Battler A and Brindis R G 2001 J. American College of Cardiology 38 2114
  • [5] Antman E, Cohen M and Bernink P 2000 A Method for Prognostication and Therapeutic Decision Making. JAMA 284 835
  • [6] Morrow D, Antman E and Charlesworth A 2000 Circulation 102 2031
  • [7] Culbert C, Riley G and Donnell B 1998 CLIPS – Reference Manual Volume I Basic Programming Guide, available at: http://www.ghg.net/clips/download/documentation/
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT3-0009-0027
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