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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) | 📗📗📗📗◻️

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) | 📗📗📗📗◻️

RR:C19 Strength of Evidence Scale Key

📕 ◻️◻️◻️◻️ = Misleading

📙📙 ◻️◻️◻️ = Not Informative

📒📒📒 ◻️◻️ = Potentially Informative

📗📗📗📗◻️ = Reliable

📘📘📘📘📘 = Strong

To read the reviews, click the links below.



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