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A DIAGNOSTIC CLASSIFICATION MODEL FOR DOCUMENT PROCESSING SKILLS
ETS Research Report Series, 1993ABSTRACTThis paper introduces a modification to the Rule Space diagnostic classification procedure which allows for processing of response vectors containing missing data. Rule Space is an approach to diagnostic classification which involves characterizing examinees' performances in terms of an underlying cognitive model of generalized problem‐solving ...
Kathleen Sheehan +2 more
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Evidentiary Reasoning in Diagnostic Classification Models
Measurement: Interdisciplinary Research and Perspectives, 2009In Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art, Rupp and Templin (2008 hereafter RT) undertake the ambitious task of providing...
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Medical diagnostic testing models for multifactorial disease classifications
Statistics in Medicine, 2005In this note we extend the logistic regression receiver operating characteristic (ROC) analysis framework to diagnosing disease that can be classified in a 2 x 2 factorial setting. Similar to the standard ROC curve analysis these new models accommodate prediction of cross-classifications for treatment success and diagnosis of disease.
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Classification Model for Estimation of Risk Factors in Cardiological Diagnostics
2008The proposed classification model for risk factor estimation makes semi-automatic data analysis based on advanced machine-learning methods. The objective is to provide intelligent computer-based support for medical diagnostics. The developed fuzzy boundary classification determines risk factors importance and adjusts the threshold. Experimental results
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Equivalent Diagnostic Classification Models
Measurement: Interdisciplinary Research & Perspective, 2009Maris, G., Bechger, T.
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Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model
Psychometrika, 2021Kazuhiro Yamaguchi +2 more
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