L Ironi, M Stefanelli, G Lanzola (1990) "Qualitative models in medical diagnosis", Artificial Intelligence in Medicine 2(2), 85--101 Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Diagnostic Monitoring of Clinical Time Series - Steimann (1995) (Correct)
....the values of variables over time. QSIM has been made the basis of, for example, MIMIC and NEOANEMIA. MIMIC is a model based monitoring system dedicated to the tracking of the observed process s current state while diagnosing possible faults based on explicit fault models [Dvorak 89] NEOANEMIA [Ironi 90] is a system to diagnose hematologic disorders causing anemia. Coiera picks up the QSIM approach, applies it to diagnostic patient monitoring (in particular, to monitoring acid base disorders) and extends it by a theory of identifying interacting diseases [Coiera 89, 90] He exploits the fact ....
L Ironi, M Stefanelli, G Lanzola (1990) "Qualitative models in medical diagnosis", Artificial Intelligence in Medicine 2(2), 85--101
Learning Qualitative Models of Dynamic Systems - Hau, Coiera (1997) (7 citations) (Correct)
....we can derive a qualitative system behavior using qualitative simulation. Figure 1 illustrates this (Kuipers, 1986) Among different qualitative representations developed in past years, Kuipers Qsim has been widely used, and has hadsome success in medical reasoning applications (Coiera, 1992, Ironi, 1992, Balestra Liberati, 1992, Kuipers, 1985) LEARNING QUALITATIVE MODELS 179 Differential Equations (Qualitative Differential Equations) Qualitative Constraints Qualitative Simulation (e.g. QSIM) Abstraction Analytical Methods Numerical Simulation Abstraction Abstraction Abstraction ....
Ironi, L., Stefanelli, M. & Lazola, G. 1992. Qualitative models in medical diagnosis. In E. Keravnou, editor, Medical Artificial Intelligence I - Deep Models for Medical Knowledge Engineering. Elsevier, Amsterdam, The Netherlands.
A Method to Derive the Time of Onset of Infection from.. - Steimann, Hayde (1997) (1 citation) (Correct)
.... dynamic parameter models in the form of differential equations have been suggested (e.g. Pohl 94] Other researchers have investigated the impact of qualitative simulation on dynamic problems of the biomedical field, such as the monitoring of disturbances in the acid base balance [Coiera 90, Ironi 90, Uckun 92] In the pure qualitative approach actual parameter developments are matched against the predictions of qualitative models of alternative (patho)physiological hypotheses competing in the explanation of the monitored situation. It is questionable, however, if the problem dealt with in ....
L Ironi, M Stefanelli, G Lanzola (1990) "Qualitative models in medical diagnosis", Artificial Intelligence in Medicine 2(2), 85--101
Learning Qualitative Models from Physiological Signals - Hau, Coiera (1994) (Correct)
....models permit useful representations of a system to be developed in the absence of extensive knowledge of the system. In the medical domain, such models have been applied to: ffl diagnostic patient monitoring of acid base balance [6] ffl qualitative simulation of the iron metabolism mechanism [15] ffl qualitative simulation of urea extraction during dialysis [2] ffl qualitative simulation of the water balance mechanism and its disorders [18] ffl qualitative simulation of the mechanism for regulation of blood pressure [18] Recent developments in machine learning have produced methods of ....
L. Ironi, M. Stefanelli, and G. Lazola. Qualitative models in medical diagnosis. In E. Keravnou, editor, Deep Models for Medical Knowledge Engineering. Elsevier, Amsterdam, The Netherlands, 1992.
Monitoring Diseases With Empirical and Model Generated Histories - Coiera (1990) (6 citations) (Correct)
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L.Ironi, M.Stefannelli, G.Lanzola, Qualitative Models in Medical Diagnosis, Artificial Intelligence in Medicine, 2,(1990), 85-101.
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