Peer Review reports
From: Interpretable machine learning model for predicting acute kidney injury in critically ill patients
| Original Submission | ||
|---|---|---|
| 3 Nov 2023 | Submitted | Original manuscript |
| 28 Dec 2023 | Reviewed | Reviewer Report - Jacqueline Koeze |
| 21 Jan 2024 | Reviewed | Reviewer Report |
| 21 Feb 2024 | Author responded | Author comments - Deguang Wang |
| 6 Mar 2024 | Reviewed | Reviewer Report |
| 3 Apr 2024 | Reviewed | Reviewer Report - Jacqueline Koeze |
| 10 Apr 2024 | Author responded | Author comments - Deguang Wang |
| Resubmission - Version 2 | ||
| 21 Feb 2024 | Submitted | Manuscript version 2 |
| 11 Apr 2024 | Author responded | Author comments - Deguang Wang |
| Resubmission - Version 3 | ||
| 11 Apr 2024 | Submitted | Manuscript version 3 |
| 14 Apr 2024 | Reviewed | Reviewer Report |
| Resubmission - Version 4 | ||
| Submitted | Manuscript version 4 | |
| Publishing | ||
| 17 May 2024 | Editorially accepted | |
| 31 May 2024 | Article published | 10.1186/s12911-024-02537-9 |
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