Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.
Skip to main content

Peer Review reports

From: Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management

Original Submission
23 Jan 2024 Submitted Original manuscript
14 Oct 2024 Reviewed Reviewer Report
8 Nov 2024 Reviewed Reviewer Report
1 Dec 2024 Author responded Author comments - Dingyu Zhang
20 Dec 2024 Reviewed Reviewer Report
25 Dec 2024 Reviewed Reviewer Report
19 Jan 2025 Author responded Author comments - Dingyu Zhang
Resubmission - Version 2
1 Dec 2024 Submitted Manuscript version 2
4 Feb 2025 Reviewed Reviewer Report
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
11 Feb 2025 Editorially accepted
22 Feb 2025 Article published 10.1186/s12911-025-02930-y

You can find further information about peer review here.

Back to article page

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us