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Peer-Review Record

Prediction of Efficacy of Taeumjowi-Tang for Treatment of Metabolic Risk Factors Based on Machine Learning

Appl. Sci. 2021, 11(18), 8741; https://doi.org/10.3390/app11188741
by Bum Ju Lee 1,*, Mi Hong Yim 1, Youngju Jeon 1, Jun Su Jang 1, Ji Ho So 1, Joong Il Kim 1, Woosu Choi 1, Jihye Kim 1, Jiwon Yoon 1, Min Ji Kim 1, Young Min Kim 1, Taek Won Ahn 2, Jong Yeol Kim 1 and Jun Hyeong Do 1,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Appl. Sci. 2021, 11(18), 8741; https://doi.org/10.3390/app11188741
Submission received: 28 June 2021 / Revised: 10 September 2021 / Accepted: 15 September 2021 / Published: 19 September 2021
(This article belongs to the Section Biomedical Engineering)

Round 1

Reviewer 1 Report

see attached document

Comments for author File: Comments.docx

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

The authors presented an interesting study on the efficiency of the herbal medicine in the treatment of triglyceride level, high-density lipoprotein (HDL) cholesterol level, systolic blood pressure (SBP), and diastolic blood pressure. I dod not find any methodological limitations of the study; however, I would suggest to prepare more visualizations and schemes of the study to make it easier to capture by the reader.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

The new draft looks good, and the majority of the problems are addressed. 

Author Response

We cannot find any reviewer comments in Round 2.

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