Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model

2PL-MDNRM successfully achieved parameter estimation convergence, and its superiority over the original MDNRM was demonstrated through wAIC and LOO values.

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Publication Details

Journal
PeerJ Computer Science
Published
2024-10-04
DOI
https://doi.org/10.7717/peerj-cs.2380
Primary Topic
Reliability and Agreement in Measurement
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model

Eiji Ota, Mizuho Nishio
1 links
PeerJ Computer Science
Reliability and Agreement in Measurement
article

Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model

Eiji Ota, Mizuho Nishio
article en

Abstract

2PL-MDNRM successfully achieved parameter estimation convergence, and its superiority over the original MDNRM was demonstrated through wAIC and LOO values.

PeerJ Computer ScienceVol. 10
Kobe University (JP), Futaba (Japan) (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 83%
Reliability and Agreement in Measurement
DOIOpen Access PDFOpenAlex
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Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model — Eiji Ota, Mizuho Nishio · PeerJ Computer Science (2024) | TGRS Research Map | TGRS