Matches in SemOpenAlex for { <https://semopenalex.org/work/W3134089037> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W3134089037 endingPage "1025" @default.
- W3134089037 startingPage "1015" @default.
- W3134089037 abstract "Arrhythmia is an abnormality often encountered in patients with cardiac problems. The presence of arrhythmia can be detected by an electrocardiogram (ECG) test. Automatic observation based on machine learning has been developed for long time. Unfortunately, only few of them have capability of explaining the knowledge inside themselves. Thus, transparency is important to improve human understanding of knowledge. To achieve this goal, a method based on cascaded transparent classifier is proposed. Firstly, ECG signals were separated and every single signal was extracted using feature extraction method. Several of extracted feature’s attributes were selected, and the final step was classifying data using cascade classifier which consists of decision tree and the rule based classifier. Classification performance was evaluated with publicly available dataset, the MIT-BIH Physionet Dataset. The methods were tested using 10-fold cross validation. The average of both accuracy and number of rules generated was considered. The best result using rule-based classifier achieves the accuracy and the number of rules 92.40% and 40, respectively. And the best result using cascade classifier achieves the accuracy and the number of rules 92.84% and 80, respectively. As a conclusion, transparent classifier shows a competitive performance with reasonable accuracy compared with previous research and promising in addressing the need for interpretability model." @default.
- W3134089037 created "2021-03-15" @default.
- W3134089037 creator A5006699720 @default.
- W3134089037 creator A5017890989 @default.
- W3134089037 creator A5028083271 @default.
- W3134089037 creator A5046913119 @default.
- W3134089037 creator A5063062915 @default.
- W3134089037 creator A5066501050 @default.
- W3134089037 creator A5083063719 @default.
- W3134089037 date "2022-01-25" @default.
- W3134089037 modified "2023-10-11" @default.
- W3134089037 title "Classification of arrhythmia’s ECG signal using cascade transparent classifier" @default.
- W3134089037 cites W1974885452 @default.
- W3134089037 cites W1981356892 @default.
- W3134089037 cites W2042028018 @default.
- W3134089037 cites W2045703052 @default.
- W3134089037 cites W2063923412 @default.
- W3134089037 cites W2064493351 @default.
- W3134089037 cites W2071901586 @default.
- W3134089037 cites W2083780116 @default.
- W3134089037 cites W2106384153 @default.
- W3134089037 cites W2109676405 @default.
- W3134089037 cites W2139727462 @default.
- W3134089037 cites W2162800060 @default.
- W3134089037 cites W2903155847 @default.
- W3134089037 cites W2980458068 @default.
- W3134089037 cites W2987011834 @default.
- W3134089037 cites W2989746651 @default.
- W3134089037 cites W2999460225 @default.
- W3134089037 cites W3002941625 @default.
- W3134089037 doi "https://doi.org/10.3233/jifs-189768" @default.
- W3134089037 hasPublicationYear "2022" @default.
- W3134089037 type Work @default.
- W3134089037 sameAs 3134089037 @default.
- W3134089037 citedByCount "1" @default.
- W3134089037 countsByYear W31340890372022 @default.
- W3134089037 crossrefType "journal-article" @default.
- W3134089037 hasAuthorship W3134089037A5006699720 @default.
- W3134089037 hasAuthorship W3134089037A5017890989 @default.
- W3134089037 hasAuthorship W3134089037A5028083271 @default.
- W3134089037 hasAuthorship W3134089037A5046913119 @default.
- W3134089037 hasAuthorship W3134089037A5063062915 @default.
- W3134089037 hasAuthorship W3134089037A5066501050 @default.
- W3134089037 hasAuthorship W3134089037A5083063719 @default.
- W3134089037 hasConcept C119857082 @default.
- W3134089037 hasConcept C124101348 @default.
- W3134089037 hasConcept C153180895 @default.
- W3134089037 hasConcept C154945302 @default.
- W3134089037 hasConcept C185592680 @default.
- W3134089037 hasConcept C2781067378 @default.
- W3134089037 hasConcept C34146451 @default.
- W3134089037 hasConcept C41008148 @default.
- W3134089037 hasConcept C43617362 @default.
- W3134089037 hasConcept C84525736 @default.
- W3134089037 hasConcept C95623464 @default.
- W3134089037 hasConceptScore W3134089037C119857082 @default.
- W3134089037 hasConceptScore W3134089037C124101348 @default.
- W3134089037 hasConceptScore W3134089037C153180895 @default.
- W3134089037 hasConceptScore W3134089037C154945302 @default.
- W3134089037 hasConceptScore W3134089037C185592680 @default.
- W3134089037 hasConceptScore W3134089037C2781067378 @default.
- W3134089037 hasConceptScore W3134089037C34146451 @default.
- W3134089037 hasConceptScore W3134089037C41008148 @default.
- W3134089037 hasConceptScore W3134089037C43617362 @default.
- W3134089037 hasConceptScore W3134089037C84525736 @default.
- W3134089037 hasConceptScore W3134089037C95623464 @default.
- W3134089037 hasIssue "2" @default.
- W3134089037 hasLocation W31340890371 @default.
- W3134089037 hasOpenAccess W3134089037 @default.
- W3134089037 hasPrimaryLocation W31340890371 @default.
- W3134089037 hasRelatedWork W1986582023 @default.
- W3134089037 hasRelatedWork W2883749686 @default.
- W3134089037 hasRelatedWork W2905433371 @default.
- W3134089037 hasRelatedWork W3036095178 @default.
- W3134089037 hasRelatedWork W3134840015 @default.
- W3134089037 hasRelatedWork W4293151273 @default.
- W3134089037 hasRelatedWork W4315864862 @default.
- W3134089037 hasRelatedWork W4361193272 @default.
- W3134089037 hasRelatedWork W4366979180 @default.
- W3134089037 hasRelatedWork W4384470695 @default.
- W3134089037 hasVolume "42" @default.
- W3134089037 isParatext "false" @default.
- W3134089037 isRetracted "false" @default.
- W3134089037 magId "3134089037" @default.
- W3134089037 workType "article" @default.