Abstract
Important practical problems in computer support medical diagnosis are related to screening procedures. Identification of high risk patients can serve as an example of such a problem. The identification results should allow to select a patient in an objective manner for additional therapeutic treatment. The designing of the screening tools can be based on the minimisation of the convex and piecewise linear (CPL) criterion functions. Particularly ranked models can be designed in this manner for the purposes of screening procedures.
This work was supported by the by the NCBiR project N R13 0014 04, and partially financed by the project S/WI/2/2010 from the Białystok University of Technology, and by the project 16/St/2010 from the Institute of Biocybernetics and Biomedical Engineering PAS.
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Bobrowski, L. (2010). Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2010. Lecture Notes in Computer Science(), vol 6171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14400-4_33
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DOI: https://doi.org/10.1007/978-3-642-14400-4_33
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