Predicting the Cochlear Dead Regions Using a Machine Learning-Based Approach with Oversampling Techniques
Round 1
Reviewer 1 Report
This is an interesting study about the prediction tof cochlear dead regions using a machine learning-based approach with oversampling techniques. The authors adopted the synthetic minority oversampling technique (SMOTE).
The paper is well written. Results are adequately described and reported. Discussion is interesting.
All the acronyms must be explained at their first appearance in the text.
Author Response
Thanks for your kind comment. We have revised the whole manuscript to clarify the acronyms when they were used several times.
Reviewer 2 Report
The authors investigated the cochlear dead regions using machine learning. The paper is well-written, the tables and figures are of high quality, and the authors have clearly worked hard to produce a comprehensive dataset and detailed description of their methods.
Since TEN is presented only in abbreviations, it would be more helpful to the reader to provide an explanation of it.
Author Response
Thanks for your kind comment. We have revised the whole manuscript to clarify the acronyms when they were used at first.
In addition, we already underwent English language editing, however, if we need to revise, we will perform English editing with other experts. Thank you.
