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Accepted for/Published in: JMIRx Med

Date Submitted: Mar 18, 2021
Date Accepted: Mar 18, 2021

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

Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

Surodina S, Lam C, Grbich S, Milne-Ives M, van Velthoven M, Meinert E

Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

JMIRx Med 2021;2(2):e28917

DOI: 10.2196/28917

PMCID: 10414333

Author Responses to Peer Review of "Machine Learning for Risk Group Identification and User Data Collection, a Case-Study of Herpes Simplex Virus Patient Registry: Algorithm Development and Validation" (ms#25560)

  • Svitlana Surodina; 
  • Ching Lam; 
  • Svetislav Grbich; 
  • Madison Milne-Ives; 
  • Michelle van Velthoven; 
  • Edward Meinert

ABSTRACT

This is author responses.


 Citation

Please cite as:

Surodina S, Lam C, Grbich S, Milne-Ives M, van Velthoven M, Meinert E

Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

JMIRx Med 2021;2(2):e28917

DOI: 10.2196/28917

PMCID: 10414333

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.