An investigation on the nature of decision support system software

Wang, Michael; Yu, Keh-Chiang

doi:10.1016/0167-9236(87)90099-6

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…The current concept of computerized information systems proves their validity in data processing, information management and decision support, with application to clinical decision-making, medical education, research and health care [14]. Wang and Yu emphasized the indispensability of the use of computers to enhance the decision-maker's effectiveness in such processes [15].…”

Section: Discussionmentioning

confidence: 99%

An algorithm for leukaemia immunophenotype pattern recognition

Petrovečki

Marušić²,

Deželić³

1993

Medical Informatics

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Since leukaemia-specific leucocyte antigen has not been identified to date, the immunological diagnosis of leukaemia is achieved through the application of a wide set of monoclonal antibodies specific for surface markers on leukaemic cells. Thus, the interpretation of leukaemia immunophenotype seems to be a mathematically determined comparison of 'what we found' and 'what we know' about it. The objective of this study was to establish an algorithm for transformation of empirical rules into mathematical values to achieve proper decisions. Recognition of leukaemia phenotype was performed by comparison of phenotyping data with reference data, followed by scoring of such comparisons. Systematic scoring resulted in the formation of new numerical variables allocated to each state, whereas a most significant variable was described as a complex measure of compatibility. A system of recognized states was described by mathematical variables measuring the confidence of information systems, i.e. maximal, total and relative entropy. The entire algorithm was derived by matrix algebra and coded in a high-level program language. The list of the states recognized appeared to be especially helpful in differential diagnosis, occasionally pointing to states that had not been in the scientist's mind at the start of the analysis.

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Section: Discussionmentioning

confidence: 99%