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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…
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Keywords:
health;
mental health;
classification mental;
implementation ... See more keywords
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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…
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Keywords:
modeling framework;
diagnostic classification;
jvrt lcdm;
lcdm ... See more keywords
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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…
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Keywords:
schizophrenia;
classification;
classification schizophrenia;
resting state ... See more keywords
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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…
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Keywords:
diagnostic classification;
site;
autism;
connectivity ... See more keywords
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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)…
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Keywords:
inc diagnostic;
classification;
nanda international;
international inc ... See more keywords
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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.
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Keywords:
impact mismatches;
glucose values;
mismatches hba1c;
hba1c glucose ... See more keywords
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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…
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Keywords:
diagnostic classification;
classification;
noncognitive tests;
model ... See more keywords
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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…
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Keywords:
test;
level model;
classification models;
diagnostic classification ... See more keywords
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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…
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Keywords:
classification models;
binomial distribution;
negative binomial;
count ... See more keywords
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2
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…
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Keywords:
classification model;
testlet;
attribute hierarchies;
model ... See more keywords
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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…
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Keywords:
factitious disorders;
evolution diagnostic;
epidemiology evolution;
classification factitious ... See more keywords