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Citation
Please cite as:
Dong T, Sinha S, Zhai B, Fudulu D, Chan J, Narayan P, Judge A, Caputo M, Dimagli A, Benedetto U, Angelini G
Authors’ Response to Peer Reviews of “Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis”
JMIRx Med 2024;5:e60384
DOI: 10.2196/60384
PMCID: 11217161
Current Preprint Settings
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Currently submitted to:
JMIRx Med
Date Submitted: May 9, 2024
Date Accepted: May 9, 2024
The final, peer-reviewed published version of this preprint can be found here:
Authors’ Response to Peer Reviews of “Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis”
Dong T, Sinha S, Zhai B, Fudulu D, Chan J, Narayan P, Judge A, Caputo M, Dimagli A, Benedetto U, Angelini G
Authors’ Response to Peer Reviews of “Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis”
JMIRx Med 2024;5:e60384
DOI: 10.2196/60384
PMCID: 11217161
Author(s)’ Responses to Peer Review Reports
Tim Dong;
Shubhra Sinha;
Ben Zhai;
Daniel Fudulu;
Jeremy Chan;
Pradeep Narayan;
Andy Judge;
Massimo Caputo;
Arnaldo Dimagli;
Umberto Benedetto;
Gianni Angelini
ABSTRACT
This is the author(s)’ responses to peer review reports related to MS ID45973.
Citation
Please cite as:
Dong T, Sinha S, Zhai B, Fudulu D, Chan J, Narayan P, Judge A, Caputo M, Dimagli A, Benedetto U, Angelini G
Authors’ Response to Peer Reviews of “Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis”
JMIRx Med 2024;5:e60384
DOI: 10.2196/60384
PMCID: 11217161
Per the author's request the PDF is not available.
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