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Accepted for/Published in: JMIRx Med

Date Submitted: Oct 5, 2021
Date Accepted: Oct 5, 2021

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

Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study”

Doyle R

Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study”

JMIRx Med 2021;2(4):e34081

DOI: 10.2196/34081

PMCID: 10414340

Authors' Responses to Peer Review of "Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study" (ms#29392)

  • Riccardo Doyle

ABSTRACT

These are authors' responses to peer review of ms#29392.


 Citation

Please cite as:

Doyle R

Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study”

JMIRx Med 2021;2(4):e34081

DOI: 10.2196/34081

PMCID: 10414340

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.