Q-Matrix Estimation Methods for Cognitive Diagnosis Models: Based on Partial Known Q-Matrix
Sign Up to like & getrecommendations! Published in 2020 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2020.1746901
Abstract: Abstract Different from the item response models that postulate a single underlying proficiency, cognitive diagnostic assessments (CDAs) can provide fine-grained diagnostic information about students’ knowledge state to aid classroom instructions. In CDAs, a Q-matrix that… read more here.
Keywords: partial known; diagnosis models; matrix; cognitive diagnosis ... See more keywords
Deep learning‐based diagnosis models for onychomycosis in dermoscopy
Sign Up to like & getrecommendations! Published in 2022 at "Mycoses"
DOI: 10.1111/myc.13427
Abstract: Onychomycosis is a common disease. Emerging noninvasive, real‐time techniques such as dermoscopy and deep convolutional neural networks have been proposed for the diagnosis of onychomycosis. However, deep learning application in dermoscopic images has not been… read more here.
Keywords: diagnosis; dermoscopy deep; deep learning; based diagnosis ... See more keywords
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/9410222
Abstract: Method The three-phase framework integrated the MCDM and ML to develop the diagnosis models and evaluate and benchmark the best. Firstly, the new ASD-dataset-combined medical tests and sociodemographic characteristic features is identified and preprocessed. Secondly,… read more here.
Keywords: diagnosis; medical tests; framework; sociodemographic features ... See more keywords
The Potential for Interpretational Confounding in Cognitive Diagnosis Models
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DOI: 10.1177/01466216221084207
Abstract: Binary examinee mastery/nonmastery classifications in cognitive diagnosis models may often be an approximation to proficiencies that are better regarded as continuous. Such misspecification can lead to inconsistencies in the operational definition of “mastery” when binary… read more here.
Keywords: potential interpretational; diagnosis models; cognitive diagnosis; test forms ... See more keywords