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Article
Peer-Review Record

The Use of Multilayer Perceptron Artificial Neural Networks to Detect Dairy Cows at Risk of Ketosis

Animals 2022, 12(3), 332; https://doi.org/10.3390/ani12030332
by Edyta A. Bauer 1,* and Wojciech Jagusiak 2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Animals 2022, 12(3), 332; https://doi.org/10.3390/ani12030332
Submission received: 12 November 2021 / Revised: 22 January 2022 / Accepted: 26 January 2022 / Published: 29 January 2022
(This article belongs to the Special Issue Dairy Cattle Health Management)

Round 1

Reviewer 1 Report

in the attacment

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The study is interesting and it is of interest to develop new approaches for ketosis in dairy cows using different models. However, the data analysis quality is not ready enough for publication.
The paper does not provide enough of detail to judge the quality of the results. It is not clear how the optimization is done for the models parameters. It seems to be too complex models when it comes to the number of neurons. For such a small number of variables 2-5 having 8-15 neurons is too many. The error is hard to evaluate and should not be provided as well as Pearson correlation coefficient. These are the metrics for the regression analysis which was not done by ANN.
The authors should significantly improve the quality of the manuscript before it can be resubmitted.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

suggestions: put as supplement tables with original data

optional: put in text key sentecies from author s text  - answer to reviewer.  It will be good and simple for reader of article

Author Response

Please see the attachment. Thank you.

Author Response File: Author Response.docx

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