Self-organising discovery, recognition and prediction of haemodynamic patterns in the intensive care unit

Author:

Spencer R. G.,Lessard C. S.,Davila F.,Etter B.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference18 articles.

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2. Carpenter, G.A., andGrossberg, (1987): ‘ART 2: Self-organization of stable category recognition codes for analog input patterns,’Appl. Opt.,26, pp. 4919–4930

3. Clark, P., andNiblett, T. (1989): ‘The CN2 induction algorithm,’Machine learning,3, (4), pp. 261–283

4. Cohn, A.I., Rosenbaum, S., Factor, M., andMiller, P.L. (1990): ‘DYNASCENE: An approach to computer-based intelligent cardiovascular monitoring using sequential clinical ‘scenes’, #’,Meth. Inf. Med.,29, pp. 122–131

5. Davis, R., Buchanan, B., andShortliffe, E. (1984): ‘Production rules as a representation for knowledge-based consultation program,’in: ‘Reading in medical artificial intelligence: the first decade,’ (Clancey, W., andShortliffe, E. (Eds.) (Addison-Wesley, Reading, Massachusetts)

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