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Open Peer Review Reports for: Predicting opioid dependence from electronic health records with machine learning

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Pre-publication versions of this article are available by contacting info@biomedcentral.com.

Original Submission
27 Oct 2018 Submitted Original manuscript
12 Nov 2018 Reviewed Reviewer Report - Saeed Hassanpour
13 Nov 2018 Reviewed Reviewer Report - CHELSEA CANAN
24 Dec 2018 Author responded Author comments - Randall Ellis
Resubmission - Version 2
24 Dec 2018 Submitted Manuscript version 2
29 Dec 2018 Reviewed Reviewer Report - Saeed Hassanpour
6 Jan 2019 Reviewed Reviewer Report - CHELSEA CANAN
10 Jan 2019 Author responded Author comments - Randall Ellis
Resubmission - Version 3
10 Jan 2019 Submitted Manuscript version 3
11 Jan 2019 Reviewed Reviewer Report - Saeed Hassanpour
15 Jan 2019 Reviewed Reviewer Report - CHELSEA CANAN
20 Jan 2019 Author responded Author comments - Randall Ellis
Resubmission - Version 4
20 Jan 2019 Submitted Manuscript version 4
Publishing
22 Jan 2019 Editorially accepted
29 Jan 2019 Article published 10.1186/s13040-019-0193-0

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 are available by contacting info@biomedcentral.com.

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

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