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. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Bobrowski, L. (2010). Selection of high risk patients with ranked models based on the CPL criterion functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6171 LNAI, pp. 432–441). https://doi.org/10.1007/978-3-642-14400-4_33
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