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Accepted for/Published in: JMIRx Med

Date Submitted: Oct 3, 2020
Date Accepted: Oct 3, 2020

The final, peer-reviewed published version of this preprint can be found here:

Peer Review of “A Machine Learning Explanation of the Pathogen-Immune Relationship of SARS-CoV-2 (COVID-19), and a Model to Predict Immunity and Therapeutic Opportunity: A Comparative Effectiveness Research Study”

Chang A

Peer Review of “A Machine Learning Explanation of the Pathogen-Immune Relationship of SARS-CoV-2 (COVID-19), and a Model to Predict Immunity and Therapeutic Opportunity: A Comparative Effectiveness Research Study”

JMIRx Med 2020;1(1):e24747

DOI: 10.2196/24747

PMCID: 10414367

This is a peer review report

  • Andy Chang

ABSTRACT

This is a peer review report.


 Citation

Please cite as:

Chang A

Peer Review of “A Machine Learning Explanation of the Pathogen-Immune Relationship of SARS-CoV-2 (COVID-19), and a Model to Predict Immunity and Therapeutic Opportunity: A Comparative Effectiveness Research Study”

JMIRx Med 2020;1(1):e24747

DOI: 10.2196/24747

PMCID: 10414367

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.