Cargando…
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...
Autores principales: | Shakeri Hossein Abad, Zahra, Butler, Gregory P, Thompson, Wendy, Lee, Joon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
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 |
Ejemplares similares
-
Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk
por: Yu, Bei, et al.
Publicado: (2013) -
Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research
por: Shakeri Hossein Abad, Zahra, et al.
Publicado: (2022) -
Crowdsourcing Awareness: Exploration of the Ovarian Cancer Knowledge Gap through Amazon Mechanical Turk
por: Carter, Rebecca R., et al.
Publicado: (2014) -
Crowdsourcing for Food Purchase Receipt Annotation via Amazon Mechanical Turk: A Feasibility Study
por: Lu, Wenhua, et al.
Publicado: (2019) -
Validating Grading of Aesthetic Outcomes of Web Space Reconstruction for Finger Syndactyly: Crowdsourcing Public Perceptions Using Amazon Mechanical Turk
por: Mayfield, Cory K, et al.
Publicado: (2020)