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Original Article

Artificial neural networks within medical decision support systems

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Pages 3-11 | Published online: 08 Jul 2009

References

  • Ricketts I W. Cervical cell image inspection-a task for artificial neural networks. First Irish Neural Network Conf. 1992; 15–18, Network 3
  • Modai I, Stoler M, Inbar-Saban N, Saban N. Clinical decisions for psychiatric inpatients and their evaluation by a trained neural network. Methods of Information in Medicine 1993; 32(5)396–399
  • Elo P, Saarinen J, et al. Classification of epileptic EEG by using self-organising maps. Proceedings of the Int. Conf on Artificial Neural Networks. 1992; 2: 1147–1150
  • Ozdamar O, Ilker Y, et al. Multilevel Neural Network System for EEG Spike Detection. Computer-Based Medical Systems. 4th Annual IEEE Symp. 1991; 272–279, Track 3; Session 8
  • Bankman I N, Sigillito V G, et al. Feature detection of the K-complex wave in the human electroencephalogram using neural networks. IEEE Transactions on Biomedical Eng. 1992; 39(12)1305–1310
  • Chi Z, Jabri M A. Identification of supraventricular and ventricular arrhythmias using a combination of three neural networks. Proc. of the Computers in Cardiology Conf. Venice. 1991; 169–172
  • Furlong J W, Dupuy M E, Heinsimer J A. Neural Network Analysis of Serial Cardiac Enzyme Data. Clin Chem. 1991; 96(1)134–141
  • Astion M L, Wilding P. Application of neural networks to the interpretation of laboratory data in cancer diagnosis. Clin. Chem. 1992; 38: 34–38
  • Kazmierczak S C, Catrou P G, Van Lente F. Diagnostic accuracy of pancreatic enzymes evaluated by use of multivariate data analysis. Clin. Chem. 1993; 39: 1960–1965
  • Schweiger C R, Soeregi G, et al. Evaluation of laboratory data by conventional statistics and by three types of neural networks. Clin. Chem. 1993; 39: 1966–1971
  • Manner G A, Schweiger C R, et al. Detection of monoclonal gammopathies in serum electrophoresis by neural networks. Clin. Chem. 1993; 39: 1984–1985
  • Solberg H E, Rootwelt K. The application of multivariate methods in laboratory medicine: a clinical chemist' s point of view. Case study: pattern recognition of thyroid function. Advanced interpretation of clinical laboratory data, C Heusghem, A Alberg, E S Benson. Marcel Dekker, New York 1982; 65–77
  • Sharpe P K, Solberg H E, et al. Artificial neural networks in diagnosis of thyroid function from in vitro laboratory tests. Clin Chem. 1993; 39: 2248–2253
  • Vertosick F T, Rehn T. Predicting behaviour of an enzyme-linked immunoassay model by using commercially available neural network software. Clin. Chem. 1993; 39: 2478–2482
  • Blank T B, Brown S D. Nonlinear multivariate mapping of chemical data using feed-forward neural networks. Anal. Chem. 1993; 65: 3081–3089
  • Volmer M, Wolthers B G, et al. Artificial neural network predictions of urinary calculus compositions analyzed with infrared spectroscopy. Clin. Chem. 1994; 40: 1692–1697
  • Poli R, Livi R, et al. A neural network expert system for diagnosing and treating hypertension. Computer 1991; 65–71, March
  • Heathfield H A, Wyatt J. Philosophies for the design and development of clinical decision-support systems. Meth. Inform Med. 1993; 32: 1–8

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