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Peer Review reports

From: Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them

Original Submission
6 Apr 2022 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
28 May 2022 Reviewed Reviewer Report - Chiagoziem Chima Ukwuoma
31 May 2022 Reviewed Reviewer Report - Hamid Mokhtari Torshizi
1 Jun 2022 Reviewed Reviewer Report - Clifford Silver Tarimo
11 Jun 2022 Reviewed Reviewer Report
8 Jul 2022 Author responded Author comments - Soraya Khafri
Resubmission - Version 3
8 Jul 2022 Submitted Manuscript version 3
14 Jul 2022 Author responded Author comments - Soraya Khafri
Resubmission - Version 4
14 Jul 2022 Submitted Manuscript version 4
27 Jul 2022 Reviewed Reviewer Report
30 Jul 2022 Reviewed Reviewer Report - Clifford Silver Tarimo
31 Jul 2022 Reviewed Reviewer Report - Chiagoziem Chima Ukwuoma
10 Aug 2022 Author responded Author comments - Soraya Khafri
Resubmission - Version 5
10 Aug 2022 Submitted Manuscript version 5
15 Aug 2022 Reviewed Reviewer Report
15 Aug 2022 Reviewed Reviewer Report - Clifford Silver Tarimo
17 Aug 2022 Reviewed Reviewer Report - Chiagoziem Chima Ukwuoma
Resubmission - Version 6
Submitted Manuscript version 6
Publishing
24 Aug 2022 Editorially accepted
1 Sep 2022 Article published 10.1186/s12911-022-01974-8

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