The designing of the screening tools can be based on the minimisation of the convex and piecewise linear (CPL) criterion functions. Particularly ranked models ...
Abstract. Important practical problems in computer support medical diagnosis are related to screening procedures. Identification of high risk patients can ...
Important practical problems in computer support medical diagnosis are related to screening procedures. Identification of high risk patients can serve as an ...
Ranked models have the form of linear transformations of multivariate feature vectors on a line which preserve in a satisfactory manner a given set of ranked ...
Missing: Risk | Show results with:Risk
Jun 27, 2020 · Randomized screening trials have used simplified inclusion criteria for selecting high risk individuals, based ... ranked from highest risk ...
Bobrowski, L.: Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions. In: Perner, P. (ed.) ICDM 2010. LNCS, vol. 6171, pp ...
- Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions.- Medical Datasets Analysis: A Constructive Induction Approach ...
Abstract: Ranked transformations should preserve a priori given ranked rela- tions (order) between some feature vectors. Designing ranked models includes.
Missing: Risk | Show results with:Risk
... Based on Entropy -- Fuzzy Conceptual Clustering ... Selection for Language-Independent Text ... High Risk Patients with Ranked Models Based on the ...
The state-of-the-art approach for achieving this goal is to deploy a predictive model to identify patients at high risk of having poor outcomes in the future.