Diagnostic Classification
Comparison of general diagnostic classification model for multiple-choice and dichotomous diagnostic classification model
... continuous. Diagnostic Classification Models (DCMs), which model discrete latent attributes, can be used to provide diagnostic information about examinees’ ...and diagnostic information of the ...
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Diagnostic Classification Models for Ordinal Item Responses.
... The purpose of this study is to develop and evaluate two diagnostic classification models (DCMs) for scoring ordinal item data. We first applied the proposed models to an operational dataset and compared ...
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Nonparametric diagnostic classification analysis for testlet based tests
... Nonparametric Diagnostic Classification Analysis for Testlet Based ...121pp. Diagnostic classification Diagnostic Classification Models (DCMs) are multidimensional confirmatory ...
129
The effects of mixture-induced local dependence on diagnostic classification
... Diagnostic Classification. (2015) Directed by Dr. John T. Willse. 144 pp. Diagnostic Classification Models (DCMs) have been extensively researched in recent psychometric literature for ...
157
Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
... AD/CN classification by ...AD/CN classification accuracy of ...the diagnostic classification of AD with multimodal neuroimaging ...AD/CN classification, which was the first study that ...
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Applications of Exploratory Q-Matrix Discovery Procedures in Diagnostic Classification Models
... multiple classification latent class models (Maris, 1999), and most recently, diagnostic classification models (Rupp & Templin, ...cognitive diagnostic assessment, where identifying ...
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Texture analysis of multimodal magnetic resonance images in support of diagnostic classification of childhood brain tumours
... overall diagnostic classification accuracy for childhood brain tumours is ...These diagnostic accuracies depend on a combination of training, expertise and judgement of the radiologists, which ...
322
Statistical Inference for Diagnostic Classification Models
... provided by experts such as those who developed the questions (Rupp 2002; Henson and Templin 2005; Roussos, Templin and Henson 2007b; Stout 2007). Such a priori knowledge when correct is certainly very helpful for both ...
148
Epidemiology and evolution of the diagnostic classification of factitious disorders in <em>DSM-5</em>
... The reality of general practice could suggest a solution to this problem because general practitioners could have a global clinical view on the patient. In this way, a proposal could be to raise the awareness in all ...
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Chronic low back pain: diagnostic classification, physical assessment and ultrasound imaging
... standard diagnostic injections relative to identified symptomatic ...joint–related diagnostic injection procedures, FGFJI or medial branch block, were conducted by one of two ...
339
Ultrasound Based Diagnostic Classification for Solid and Partially Cystic Thyroid Nodules
... There are several limitations to our study. First, 784 thyroid nodules were not surgically confirmed and were not included in the calculation of the diagnostic efficacy of US diagnosis. In addition, 62 nodules ...
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Diagnosing EFL learners’ writing ability: a diagnostic classification modeling analysis
... Cognitive diagnostic models have primarily been used to serve two main purposes: (a) to classify examinees into similar skill mastery profiles on the basis of their observed response patterns and (b) to identify ...
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A Hypothesis Testing Procedure Designed for Q-Matrix Validation of Diagnostic Classification Models
... 9 not influenced by the number of attributes measured by a test because its parameters are estimated for each item but not for each attribute, unlike other non-compensatory conjunctive cognitive diagnostic models ...
114
Two-level diagnostic classification using cerebrospinal fluid YKL-40 in Alzheimer's disease
... Our study represents the first attempt to apply YKL-40 as a diagnostic CSF biomarker for AD following a new unbiased biomarker-based classification [4]. Some limitations needs to be mentioned. First, in ...
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Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism
... for diagnostic classification have reached only moderate ...for diagnostic classification, implementing several machine learning ...b70%), diagnostic classification reached a high accuracy of 91% with ...
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<p>A multicenter study of a contrast-enhanced ultrasound diagnostic classification of breast lesions</p>
... a classification model of CEUS and examine the characteristics of patients with different classes of diag- nosis (true positive, true negative, false negative, and false positive), in particular the ...
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Theoretical and practical considerations for implementing diagnostic classification models
... methodological issues were extensively investigated in the CFA (e. g. Meredith, 1993, Vandenberg & Lance, 2000) and in IRT framework (in terms of differential item functioning, e. g. Holland & Wainer, 1993, ...
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Multivariate Classification of Blood Oxygen Level–Dependent fMRI Data with Diagnostic Intention: A Clinical Perspective
... a diagnostic intention have been re- ...actual diagnostic classification algorithms and parameter settings and, therefore, a high flexibility in study ...successful diagnostic ...
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Clinical classification in low back pain: best evidence diagnostic rules based on systematic reviews
... Our recommendations are based on considerations of the consequences of false positives and false negatives. In most diagnoses, we put the most emphasis on tests with high specificity indicating few false positives and ...
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Eosinophilic disorders: evaluation of current classification and diagnostic criteria, proposal of a practical diagnostic algorithm
... ful classification for disease phenotypes, there may also be an increasing need for disease endotyping and novel biomarkers, which may improve understanding of the disease ...pathophysiology. Classification ...
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