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Avalilação PREreview Estruturada de Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP

Publicado
DOI
10.5281/zenodo.17335844
Licença
CC BY 4.0
Does the introduction explain the objective of the research presented in the preprint?
Yes
Are the methods well-suited for this research?
Somewhat appropriate
Method mostly follows best practices. Author should consider including more information on e.g. datasets used and multi modal fusion modality selected to make research reproducible. Author should also quantify uncertainty in results for a more rigorous research approach
Are the conclusions supported by the data?
Somewhat supported
Quantifying uncertainty would strengthen claim. Also including a chart like figure 7 and 8 to show how metrics (e.g. F1 score and AUC) vary with Federated Learning methods (e.g. FedAvg, FedProx) and layers (e.g. energy aware scheduler and privacy budget) in proposed MCP framework as well as a chart that shows the tradeoff between e.g. accuracy and computational time would better contextualize conclusions
Are the data presentations, including visualizations, well-suited to represent the data?
Somewhat appropriate and clear
Visuals are clear but author should consider removing redundant charts (e.g. figures 4,5, and 6) and replacing them with charts suggested in previous section
How clearly do the authors discuss, explain, and interpret their findings and potential next steps for the research?
Very clearly
Is the preprint likely to advance academic knowledge?
Somewhat likely
This preprint advances academic knowledge with proposed MCP framework however results are not reproducible and additional charts would be helpful to fully understand the cost versus benefit of proposed framework
Would it benefit from language editing?
No
Would you recommend this preprint to others?
Yes, but it needs to be improved
see previous comments on charts and reproducibility
Is it ready for attention from an editor, publisher or broader audience?
Yes, after minor changes
see previous comments on charts

Competing interests

The author declares that they have no competing interests.

Use of Artificial Intelligence (AI)

The author declares that they did not use generative AI to come up with new ideas for their review.

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