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Peer-Review Record

CardioRiskNet: A Hybrid AI-Based Model for Explainable Risk Prediction and Prognosis in Cardiovascular Disease

Bioengineering 2024, 11(8), 822; https://doi.org/10.3390/bioengineering11080822 (registering DOI)
by Fatma M. Talaat 1,2, Ahmed R. Elnaggar 3, Warda M. Shaban 4, Mohamed Shehata 5,6,* and Mostafa Elhosseini 6
Reviewer 3:
Bioengineering 2024, 11(8), 822; https://doi.org/10.3390/bioengineering11080822 (registering DOI)
Submission received: 11 July 2024 / Accepted: 8 August 2024 / Published: 12 August 2024
(This article belongs to the Section Biosignal Processing)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The authors have improved their presentation, and the quality of the paper now has increased and in my opinion the paper can be accepted for publication now.

Reviewer 2 Report

Comments and Suggestions for Authors

The article has been again examined and found it OK. The authors has improved the article based on recommendations of the reviewers. 

From my side, the article is ready to accept. 

Reviewer 3 Report

Comments and Suggestions for Authors

The authors have added additional data taking into account the comments indicated by the reviewer. The article has been prepared at a high level and can be published.

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