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Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies
- Source :
- Communications Medicine, Vol 2, Iss 1, Pp 1-10 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Wong et al. describe a machine learning approach for visual auditing of lateral flow tests for SARS-CoV-2 antibodies. Their automated analysis shows strong agreement with experts and consistently better performance than non-expert study participants at classifying positive results.
- Subjects :
- Medicine
Subjects
Details
- Language :
- English
- ISSN :
- 2730664X
- Volume :
- 2
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Communications Medicine
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.07b76ff56a8546e2bdfba18d8ae2889a
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s43856-022-00146-z