Skip to main content

Advertisement

Open Peer Review Reports for: A clustering approach for detecting implausible observation values in electronic health records data

Back to article

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

Original Submission
2 Jan 2019 Submitted Original manuscript
6 Feb 2019 Reviewed Reviewer Report - Carrie Daymont
6 Mar 2019 Reviewed Reviewer Report - Steven Johnson
16 Apr 2019 Author responded Author comments - Hossein Estiri
Resubmission - Version 2
16 Apr 2019 Submitted Manuscript version 2
15 May 2019 Reviewed Reviewer Report - Carrie Daymont
23 May 2019 Reviewed Reviewer Report - Steven Johnson
7 Jun 2019 Author responded Author comments - Hossein Estiri
Resubmission - Version 3
7 Jun 2019 Submitted Manuscript version 3
24 Jun 2019 Author responded Author comments - Hossein Estiri
Resubmission - Version 4
24 Jun 2019 Submitted Manuscript version 4
Publishing
26 Jun 2019 Editorially accepted
23 Jul 2019 Article published 10.1186/s12911-019-0852-6

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.

Advertisement