Assessing the difficulty of annotating medical data in crowdworking with help of experiments

BACKGROUND: As healthcare-related data proliferate, there is need to annotate them expertly for the purposes of personalized medicine. Crowdworking is an alternative to expensive expert labour. Annotation corresponds to diagnosis, so comparing unlabeled records to labeled ones seems more appropriate...

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Detalles Bibliográficos
Autores principales: Rother, Anne, Niemann, Uli, Hielscher, Tommy, Völzke, Henry, Ittermann, Till, Spiliopoulou, Myra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321104/
https://www.ncbi.nlm.nih.gov/pubmed/34324540
http://dx.doi.org/10.1371/journal.pone.0254764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321104/
https://www.ncbi.nlm.nih.gov/pubmed/34324540
http://dx.doi.org/10.1371/journal.pone.0254764

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