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Review of "Improved COVID-19 Serology Test Performance by Integrating Multiple Lateral Flow Assays using Machine Learning"

Reviewers: Karla Lee, Tim Spector (King's College) | ๐Ÿ“—๐Ÿ“—๐Ÿ“—๐Ÿ“—โ—ป๏ธ

Published onOct 07, 2021
Review of "Improved COVID-19 Serology Test Performance by Integrating Multiple Lateral Flow Assays using Machine Learning"

To read the original manuscript, click the link above.

Summary of Reviews: This preprint assesses a machine learning framework for pairing Immunochromatographic lateral flow assays to increase classification performance. The reviewers deem the findings as novel; however, empathize the limitation of the small sample size.

Reviewer 1 (Karla Lee, Tim Spector) | ๐Ÿ“—๐Ÿ“—๐Ÿ“—๐Ÿ“—โ—ป๏ธ

RR:C19 Strength of Evidence Scale Key

๐Ÿ“• โ—ป๏ธโ—ป๏ธโ—ป๏ธโ—ป๏ธ = Misleading

๐Ÿ“™๐Ÿ“™ โ—ป๏ธโ—ป๏ธโ—ป๏ธ = Not Informative

๐Ÿ“’๐Ÿ“’๐Ÿ“’ โ—ป๏ธโ—ป๏ธ = Potentially Informative

๐Ÿ“—๐Ÿ“—๐Ÿ“—๐Ÿ“—โ—ป๏ธ = Reliable

๐Ÿ“˜๐Ÿ“˜๐Ÿ“˜๐Ÿ“˜๐Ÿ“˜ = Strong

To read the reviews, click the links below.



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