Peer review reports
From: Predictive modeling for COVID-19 readmission risk using machine learning algorithms
Original Submission | ||
---|---|---|
31 Dec 2021 | Submitted | Original manuscript |
Resubmission - Version 2 | ||
Submitted | Manuscript version 2 | |
5 Feb 2022 | Reviewed | Reviewer Report |
17 Mar 2022 | Reviewed | Reviewer Report - Alessandro Rovetta |
10 Apr 2022 | Author responded | Author comments - Hadi Kazemi-Arpanahi |
Resubmission - Version 3 | ||
10 Apr 2022 | Submitted | Manuscript version 3 |
12 Apr 2022 | Author responded | Author comments - Hadi Kazemi-Arpanahi |
Resubmission - Version 4 | ||
12 Apr 2022 | Submitted | Manuscript version 4 |
13 Apr 2022 | Author responded | Author comments - Hadi Kazemi-Arpanahi |
Resubmission - Version 5 | ||
13 Apr 2022 | Submitted | Manuscript version 5 |
14 Apr 2022 | Reviewed | Reviewer Report |
17 Apr 2022 | Reviewed | Reviewer Report - Alessandro Rovetta |
21 Apr 2022 | Author responded | Author comments - Hadi Kazemi-Arpanahi |
Resubmission - Version 6 | ||
21 Apr 2022 | Submitted | Manuscript version 6 |
25 Apr 2022 | Author responded | Author comments - Hadi Kazemi-Arpanahi |
Resubmission - Version 7 | ||
25 Apr 2022 | Submitted | Manuscript version 7 |
17 May 2022 | Reviewed | Reviewer Report - Alessandro Rovetta |
Resubmission - Version 8 | ||
Submitted | Manuscript version 8 | |
Publishing | ||
18 May 2022 | Editorially accepted | |
20 May 2022 | Article published | 10.1186/s12911-022-01880-z |