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Peer-Review Record

Validation of Machine Learning-Based Individualized Treatment for Depressive Disorder Using Target Trial Emulation

J. Pers. Med. 2021, 11(12), 1316; https://doi.org/10.3390/jpm11121316
by Chi-Shin Wu 1,2,*, Albert C. Yang 3, Shu-Sen Chang 4, Chia-Ming Chang 5, Yi-Hung Liu 6, Shih-Cheng Liao 7 and Hui-Ju Tsai 8
Reviewer 1: Anonymous
Reviewer 2: Anonymous
J. Pers. Med. 2021, 11(12), 1316; https://doi.org/10.3390/jpm11121316
Submission received: 17 November 2021 / Revised: 30 November 2021 / Accepted: 1 December 2021 / Published: 7 December 2021

Round 1

Reviewer 1 Report

Thank you very much for the opportunity to review this interesting article.

In their work, the authors present the effectiveness of their model to predict the outcomes of antidepressant medication.

Overall, it is a well-written and structured article addressing a key topic in everyday practice.

 I firmly believe that the readership of the journal will find the article most useful. 

Author Response

Dear Reviewer, 

Thanks for your positive feedback. 

We have recheck English writing by professioanl editors. 

Chi-Shin Wu, M.D.,Ph.D.
Associate Investigator / Attending physician 
National Center for Geriatrics and Welfare Research, National Health Research Institutes, 
35, Keyan Road, Zhunan Town, Miaoli County 350, Taiwan
Department of Psychiatry, National Taiwan University Hospital, Yunlin branch
579, Sec. 2, Yunlin Rd., Douliu City, Yunlin County 640, Taiwan

 

Reviewer 2 Report

In this paper, the authors found that the overall accuracy of the prediction models was moderate. However, the model-selected treatments was associated with reduced treatment failure rates compared with treatments as usual. Future prospective clinical trials investigating the effectiveness of the individualized pharmacological treatment strategies are warranted to validate our findings. Overall, this paper is well written and the topic is both interesting and important. I would like to ask the authors to convert the tables into figures for better visualization of the results. Also, the language should be revised for better understanding. I will recommend the paper to the editors after revision. 

Author Response

Dear Reviewer, 

Thanks for your positive feedback.

We try to convert our table into figure; however, I found it would miss some importnat information. Therefore, I think maybe the table format is adequate. 

In addition, I invite professional English editor to improve our manuscripts. I think the revised manuscript would be markedly improved.

Chi-Shin Wu, M.D.,Ph.D.
Associate Investigator / Attending physician 
National Center for Geriatrics and Welfare Research, National Health Research Institutes, 
35, Keyan Road, Zhunan Town, Miaoli County 350, Taiwan
Department of Psychiatry, National Taiwan University Hospital, Yunlin branch
579, Sec. 2, Yunlin Rd., Douliu City, Yunlin County 640, Taiwan

 

 

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