A Crowdsourcing Framework for Medical Data Sets

Crowdsourcing services like Amazon Mechanical Turk allow researchers to ask questions to crowds of workers and quickly receive high quality labeled responses. However, crowds drawn from the general public are not suitable for labeling sensitive and complex data sets, such as medical records, due to...

Descripción completa

Detalles Bibliográficos
Autores principales: Ye, Cheng, Coco, Joseph, Epishova, Anna, Hajaj, Chen, Bogardus, Henry, Novak, Laurie, Denny, Joshua, Vorobeychik, Yevgeniy, Lasko, Thomas, Malin, Bradley, Fabbri, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961774/
https://www.ncbi.nlm.nih.gov/pubmed/29888085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961774/
https://www.ncbi.nlm.nih.gov/pubmed/29888085

Ejemplares similares