Selection of high risk patients with ranked models based on the CPL criterion functions

Authors:
Leon Bobrowski
Affiliations:
Faculty of Computer Science, Białystok Technical University, Institute of Biocyberinetics and Biomedical Engineering, PAS, Warsaw, Poland
Venue:
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Year:
2010

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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.