Matches in SemOpenAlex for { <https://semopenalex.org/work/W3109572536> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3109572536 abstract "Lack of gold standard of truth is a critical problem in medical field. Consensus extraction from noisy labels to estimate ground truth is a common approach. However, significant inter-observer variability and various biases limit the accuracy. For this challenge, we proposed an unsupervised Bayesian framework to aggregate multiple heart rate (HR) annotations from the electrocardiogram (ECG) signal and infer the underlying ground truth and precision of annotators when the ground truth is not available. We further introduced the bias and precision adjustment factor of annotator to model the annotator’s performance in each instance. Test on the 2014 PhysioNet/ Computing in Cardiology challenge database showed that the proposed model had an improvement not only over the existing aggregation model (EM-R method), mean and median strategies (the highest of 10.36%，20.26% and 12.43%) but also to the best single annotator (13.75%) used in this paper." @default.
- W3109572536 created "2020-12-07" @default.
- W3109572536 creator A5002543910 @default.
- W3109572536 creator A5020517616 @default.
- W3109572536 creator A5032182411 @default.
- W3109572536 date "2020-10-15" @default.
- W3109572536 modified "2023-10-03" @default.
- W3109572536 title "A Bayesian Fusion Model for Heart Rate Annotations" @default.
- W3109572536 cites W1508655405 @default.
- W3109572536 cites W1605480097 @default.
- W3109572536 cites W1663973292 @default.
- W3109572536 cites W1969433897 @default.
- W3109572536 cites W1983526697 @default.
- W3109572536 cites W2021044602 @default.
- W3109572536 cites W2024504058 @default.
- W3109572536 cites W2054421446 @default.
- W3109572536 cites W2080883481 @default.
- W3109572536 cites W2122930900 @default.
- W3109572536 cites W2134305421 @default.
- W3109572536 cites W2151545926 @default.
- W3109572536 cites W2158395186 @default.
- W3109572536 cites W2162273778 @default.
- W3109572536 cites W2164124780 @default.
- W3109572536 cites W2800952622 @default.
- W3109572536 cites W2805313241 @default.
- W3109572536 cites W2919514511 @default.
- W3109572536 cites W3099601712 @default.
- W3109572536 cites W9014458 @default.
- W3109572536 doi "https://doi.org/10.1109/icsmd50554.2020.9261732" @default.
- W3109572536 hasPublicationYear "2020" @default.
- W3109572536 type Work @default.
- W3109572536 sameAs 3109572536 @default.
- W3109572536 citedByCount "1" @default.
- W3109572536 countsByYear W31095725362023 @default.
- W3109572536 crossrefType "proceedings-article" @default.
- W3109572536 hasAuthorship W3109572536A5002543910 @default.
- W3109572536 hasAuthorship W3109572536A5020517616 @default.
- W3109572536 hasAuthorship W3109572536A5032182411 @default.
- W3109572536 hasConcept C105795698 @default.
- W3109572536 hasConcept C107673813 @default.
- W3109572536 hasConcept C119857082 @default.
- W3109572536 hasConcept C124101348 @default.
- W3109572536 hasConcept C146849305 @default.
- W3109572536 hasConcept C153180895 @default.
- W3109572536 hasConcept C154945302 @default.
- W3109572536 hasConcept C159985019 @default.
- W3109572536 hasConcept C192562407 @default.
- W3109572536 hasConcept C33923547 @default.
- W3109572536 hasConcept C40993552 @default.
- W3109572536 hasConcept C41008148 @default.
- W3109572536 hasConcept C4679612 @default.
- W3109572536 hasConceptScore W3109572536C105795698 @default.
- W3109572536 hasConceptScore W3109572536C107673813 @default.
- W3109572536 hasConceptScore W3109572536C119857082 @default.
- W3109572536 hasConceptScore W3109572536C124101348 @default.
- W3109572536 hasConceptScore W3109572536C146849305 @default.
- W3109572536 hasConceptScore W3109572536C153180895 @default.
- W3109572536 hasConceptScore W3109572536C154945302 @default.
- W3109572536 hasConceptScore W3109572536C159985019 @default.
- W3109572536 hasConceptScore W3109572536C192562407 @default.
- W3109572536 hasConceptScore W3109572536C33923547 @default.
- W3109572536 hasConceptScore W3109572536C40993552 @default.
- W3109572536 hasConceptScore W3109572536C41008148 @default.
- W3109572536 hasConceptScore W3109572536C4679612 @default.
- W3109572536 hasFunder F4320321001 @default.
- W3109572536 hasLocation W31095725361 @default.
- W3109572536 hasOpenAccess W3109572536 @default.
- W3109572536 hasPrimaryLocation W31095725361 @default.
- W3109572536 hasRelatedWork W10719664 @default.
- W3109572536 hasRelatedWork W12125165 @default.
- W3109572536 hasRelatedWork W12783365 @default.
- W3109572536 hasRelatedWork W13366983 @default.
- W3109572536 hasRelatedWork W2651071 @default.
- W3109572536 hasRelatedWork W2777878 @default.
- W3109572536 hasRelatedWork W3891032 @default.
- W3109572536 hasRelatedWork W7299809 @default.
- W3109572536 hasRelatedWork W9329549 @default.
- W3109572536 hasRelatedWork W6346411 @default.
- W3109572536 isParatext "false" @default.
- W3109572536 isRetracted "false" @default.
- W3109572536 magId "3109572536" @default.
- W3109572536 workType "article" @default.