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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Machine learning methods to predict child posttraumatic stress: a proof of concept study

BMC PsychiatryBMC series – open, inclusive and trusted201717:223

https://doi.org/10.1186/s12888-017-1384-1

Received: 16 May 2016

Accepted: 9 June 2017

Published: 10 July 2017

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Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
16 May 2016 Submitted Original manuscript
16 Jul 2016 Reviewed Reviewer Report - Richard Rowe
3 Nov 2016 Reviewed Reviewer Report - Grete Dyb
3 Feb 2017 Reviewed Reviewer Report - Fernando Perez-cruz-
4 Apr 2017 Author responded Author comments - Glenn Saxe
Resubmission - Version 2
4 Apr 2017 Submitted Manuscript version 2
9 May 2017 Reviewed Reviewer Report - Richard Rowe
24 May 2017 Reviewed Reviewer Report - Fernando Perez-cruz-
2 Jun 2017 Author responded Author comments - Glenn Saxe
Resubmission - Version 3
2 Jun 2017 Submitted Manuscript version 3
Publishing
9 Jun 2017 Editorially accepted
10 Jul 2017 Article published 10.1186/s12888-017-1384-1

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
Department of Child and Adolescent Psychiatry, New York University School of Medicine
(2)
Institute for Health Informatics and Department of Medicine, University of Minnesota
(3)
Department of Child and Adolescent Psychiatry and Center for Health Informatics and Bioinformatics, New York University School of Medicine
(4)
Institute for Health Informatics, Department of Medicine, and Data Science Program, University of Minnesota
(5)
Department of Biostatistics, Vanderbilt University

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