Articles with "diagnostic classification" as a keyword



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Clinical use and implementation of the diagnostic classification of mental health and developmental disorders of infancy and early childhood.

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Published in 2023 at "Infant mental health journal"

DOI: 10.1002/imhj.22054

Abstract: The Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood (DC: 0-5) was developed to provide a framework for diagnosis of infants and young children, and a training curriculum supports implementation… read more here.

Keywords: health; mental health; classification mental; implementation ... See more keywords
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A Generalized Diagnostic Classification Modeling Framework Integrating Differential Speediness: Advantages and Illustrations in Psychological and Educational Testing.

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Published in 2021 at "Multivariate behavioral research"

DOI: 10.1080/00273171.2021.1928474

Abstract: To advance the theoretical foundation of incorporating response times (RTs) into diagnostic classification models (DCMs), this study attempts to further derive, test and illustrate a generalized modeling framework (known as the JVRT-LCDM) that can simultaneously… read more here.

Keywords: modeling framework; diagnostic classification; jvrt lcdm; lcdm ... See more keywords
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S152. DIAGNOSTIC CLASSIFICATION OF SCHIZOPHRENIA USING 3D CONVOLUTIONAL NEURAL NETWORK WITH RESTING-STATE FUNCTIONAL MRI

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Published in 2020 at "Schizophrenia Bulletin"

DOI: 10.1093/schbul/sbaa031.218

Abstract: Abstract Background Several machine-learning (ML) algorithms have been deployed in the diagnostic classification of schizophrenia. Compared to other ML methods, the 3D convolutional neural network (CNN) has an advantage of learning complex and subtle patterns… read more here.

Keywords: schizophrenia; classification; classification schizophrenia; resting state ... See more keywords
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Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset

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Published in 2021 at "IEEE Transactions on Biomedical Engineering"

DOI: 10.1109/tbme.2021.3080259

Abstract: Objective: The larger sample sizes available from multi-site publicly available neuroimaging data repositories makes machine-learning based diagnostic classification of mental disorders more feasible by alleviating the curse of dimensionality. However, since multi-site data are aggregated… read more here.

Keywords: diagnostic classification; site; autism; connectivity ... See more keywords
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Evaluation of the NANDA International, Inc. diagnostic classification in Spain: Development and validation of the EVALUAN‐I tool

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Published in 2022 at "International Journal of Nursing Knowledge"

DOI: 10.1111/2047-3095.12366

Abstract: Abstract Purpose To develop and validate a tool to evaluate the NANDA International, Inc. diagnostic classification. Methods The tool, EVALUAN‐I, was validated in a non‐probabilistic sample (N = 460) on Spanish Registered Nurses (September–December 2019)… read more here.

Keywords: inc diagnostic; classification; nanda international; international inc ... See more keywords
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Impact of mismatches in HbA1c vs glucose values on the diagnostic classification of diabetes and prediabetes

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Published in 2019 at "Diabetic Medicine"

DOI: 10.1111/dme.14181

Abstract: To determine whether HbA1c mismatches (HbA1c levels that are higher or lower than expected for the average glucose levels in different individuals) could lead to errors if diagnostic classification is based only on HbA1c levels. read more here.

Keywords: impact mismatches; glucose values; mismatches hba1c; hba1c glucose ... See more keywords
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Diagnostic Classification Model for Forced-Choice Items and Noncognitive Tests

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Published in 2022 at "Educational and Psychological Measurement"

DOI: 10.1177/00131644211069906

Abstract: The forced-choice (FC) item formats used for noncognitive tests typically develop a set of response options that measure different traits and instruct respondents to make judgments among these options in terms of their preference to… read more here.

Keywords: diagnostic classification; classification; noncognitive tests; model ... See more keywords
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Improved Wald Statistics for Item-Level Model Comparison in Diagnostic Classification Models

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Published in 2019 at "Applied Psychological Measurement"

DOI: 10.1177/0146621618798664

Abstract: Diagnostic classification models (DCMs) have been widely used in education, psychology, and many other disciplines. To select the most appropriate DCM for each item, the Wald test has been recommended. However, prior research has revealed… read more here.

Keywords: test; level model; classification models; diagnostic classification ... See more keywords
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Applying Negative Binomial Distribution in Diagnostic Classification Models for Analyzing Count Data

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Published in 2022 at "Applied Psychological Measurement"

DOI: 10.1177/01466216221124604

Abstract: Diagnostic classification models (DCMs) have been used to classify examinees into groups based on their possession status of a set of latent traits. In addition to traditional item-based scoring approaches, examinees may be scored based… read more here.

Keywords: classification models; binomial distribution; negative binomial; count ... See more keywords
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A Testlet Diagnostic Classification Model with Attribute Hierarchies

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Published in 2023 at "Applied Psychological Measurement"

DOI: 10.1177/01466216231165315

Abstract: In this article, a testlet hierarchical diagnostic classification model (TH-DCM) was introduced to take both attribute hierarchies and item bundles into account. The expectation-maximization algorithm with an analytic dimension reduction technique was used for parameter… read more here.

Keywords: classification model; testlet; attribute hierarchies; model ... See more keywords
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Epidemiology and evolution of the diagnostic classification of factitious disorders in DSM-5

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Published in 2017 at "Psychology Research and Behavior Management"

DOI: 10.2147/prbm.s153377

Abstract: A systematic search for all case reports and case series of adult patients with factitious disorders (FD) in the databases MEDLINE, Scopus, and PsycINFO was conducted. FD is a psychiatric disorder in which sufferers intentionally… read more here.

Keywords: factitious disorders; evolution diagnostic; epidemiology evolution; classification factitious ... See more keywords