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Peer Review reports

From: Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10,929 children using a connected auto-injector device

Original Submission
6 Oct 2021 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
Resubmission - Version 3
Submitted Manuscript version 3
15 Dec 2021 Reviewed Reviewer Report - Antoine Pironet
11 Jan 2022 Reviewed Reviewer Report
16 Feb 2022 Author responded Author comments - Paula van Dommelen
Resubmission - Version 4
16 Feb 2022 Submitted Manuscript version 4
23 Feb 2022 Author responded Author comments - Paula van Dommelen
Resubmission - Version 5
23 Feb 2022 Submitted Manuscript version 5
3 Mar 2022 Reviewed Reviewer Report - Antoine Pironet
21 Mar 2022 Reviewed Reviewer Report
4 Apr 2022 Author responded Author comments - Paula van Dommelen
Resubmission - Version 6
4 Apr 2022 Submitted Manuscript version 6
14 Apr 2022 Reviewed Reviewer Report - Antoine Pironet
Resubmission - Version 7
Submitted Manuscript version 7
Publishing
31 May 2022 Editorially accepted
6 Jul 2022 Article published 10.1186/s12911-022-01918-2

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