Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293561109> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W4293561109 abstract "Introduction: Receiver Operating Characteristic (ROC) curve is one of the widely used supervised classification technique to allocate/classify the individuals and also instrumental in comparing diagnostic tests. Generally, to deal with classification problems we need to have knowledge on class labels. In most of the medical scenarios, most of data sets exhibit multi-model patterns in class labels which leads to multi-class classification problems. The main aim of this study is to address on the issue of constructing ROC models when there exists multimodel patterns in the class labels further, to classify the individuals for better diagnosis and also to reduce the complexity of graphical representation of ROC curves in such classification problems.
 Methods: A new version of univariate and multivariate ROC models are proposed in the framework of Finite Mixtures, due to the flexibility of identifying and modelling the subcomponents in the heterogeneous populations.
 Results: Oral Glucose Tolerance Test and Disk Hernia datasets are used and simulation studies are also performed. Results show that the proposed models possess better accuracy when compared with Bi-Normal and MROC models with reasonable low 1-Specificity and higher Sensitivity. The ROC curves are depicted in a 2D space rather than higher dimension for multi-class classification problem.
 Conclusion: It is suggested that before one proceeds to model ROC curves, it is better to take a look at the density patterns of the study variable(s), which in turn help in explaining the true information between the classes and also provides good amount of “true” accuracy." @default.
- W4293561109 created "2022-08-30" @default.
- W4293561109 creator A5017544825 @default.
- W4293561109 creator A5045323592 @default.
- W4293561109 date "2022-08-29" @default.
- W4293561109 modified "2023-10-18" @default.
- W4293561109 title "Multi-Class Classification using Mixtures of Univariate and Multivariate ROC Curves" @default.
- W4293561109 doi "https://doi.org/10.18502/jbe.v8i2.10418" @default.
- W4293561109 hasPublicationYear "2022" @default.
- W4293561109 type Work @default.
- W4293561109 citedByCount "0" @default.
- W4293561109 crossrefType "journal-article" @default.
- W4293561109 hasAuthorship W4293561109A5017544825 @default.
- W4293561109 hasAuthorship W4293561109A5045323592 @default.
- W4293561109 hasBestOaLocation W42935611091 @default.
- W4293561109 hasConcept C119857082 @default.
- W4293561109 hasConcept C124101348 @default.
- W4293561109 hasConcept C127413603 @default.
- W4293561109 hasConcept C153180895 @default.
- W4293561109 hasConcept C154945302 @default.
- W4293561109 hasConcept C161584116 @default.
- W4293561109 hasConcept C199163554 @default.
- W4293561109 hasConcept C202444582 @default.
- W4293561109 hasConcept C21200559 @default.
- W4293561109 hasConcept C24326235 @default.
- W4293561109 hasConcept C2777212361 @default.
- W4293561109 hasConcept C33676613 @default.
- W4293561109 hasConcept C33923547 @default.
- W4293561109 hasConcept C41008148 @default.
- W4293561109 hasConcept C58471807 @default.
- W4293561109 hasConceptScore W4293561109C119857082 @default.
- W4293561109 hasConceptScore W4293561109C124101348 @default.
- W4293561109 hasConceptScore W4293561109C127413603 @default.
- W4293561109 hasConceptScore W4293561109C153180895 @default.
- W4293561109 hasConceptScore W4293561109C154945302 @default.
- W4293561109 hasConceptScore W4293561109C161584116 @default.
- W4293561109 hasConceptScore W4293561109C199163554 @default.
- W4293561109 hasConceptScore W4293561109C202444582 @default.
- W4293561109 hasConceptScore W4293561109C21200559 @default.
- W4293561109 hasConceptScore W4293561109C24326235 @default.
- W4293561109 hasConceptScore W4293561109C2777212361 @default.
- W4293561109 hasConceptScore W4293561109C33676613 @default.
- W4293561109 hasConceptScore W4293561109C33923547 @default.
- W4293561109 hasConceptScore W4293561109C41008148 @default.
- W4293561109 hasConceptScore W4293561109C58471807 @default.
- W4293561109 hasLocation W42935611091 @default.
- W4293561109 hasOpenAccess W4293561109 @default.
- W4293561109 hasPrimaryLocation W42935611091 @default.
- W4293561109 hasRelatedWork W2034998431 @default.
- W4293561109 hasRelatedWork W2056368103 @default.
- W4293561109 hasRelatedWork W2354804553 @default.
- W4293561109 hasRelatedWork W2602287825 @default.
- W4293561109 hasRelatedWork W2885793850 @default.
- W4293561109 hasRelatedWork W2905342837 @default.
- W4293561109 hasRelatedWork W2990216945 @default.
- W4293561109 hasRelatedWork W3119612028 @default.
- W4293561109 hasRelatedWork W4294334792 @default.
- W4293561109 hasRelatedWork W4317233164 @default.
- W4293561109 isParatext "false" @default.
- W4293561109 isRetracted "false" @default.
- W4293561109 workType "article" @default.