Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

BACKGROUND: Crowdsourcing services, such as Amazon Mechanical Turk (AMT), allow researchers to use the collective intelligence of a wide range of web users for labor-intensive tasks. As the manual verification of the quality of the collected results is difficult because of the large volume of data a...

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Detalles Bibliográficos
Autores principales: Shakeri Hossein Abad, Zahra, Butler, Gregory P, Thompson, Wendy, Lee, Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808350/
https://www.ncbi.nlm.nih.gov/pubmed/35040794
http://dx.doi.org/10.2196/28749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808350/
https://www.ncbi.nlm.nih.gov/pubmed/35040794
http://dx.doi.org/10.2196/28749

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