Peer Review History: Machine Learning Models for Predicting Parkinson’s Disease Progression Using Longitudinal Data: A Systematic Review

Editor(s):

(1) Prof. Francisco Welington de Sousa Lima, Natural Sciences Center, Federal University of Piaui, Brazil Minister Petrônio Portella University Campus, Brazil.

Reviewers:

(1) Rama Lakshmi Boyapati, Sir C R Reddy College of Engineering, India.

(2) Yevheniia Babenko, V. M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, Ukraine.

(3) Bazeer Ahamed, College of Computing and Information Sciences-Al Musannah, University of Technology and Applied Sciences, Sultanate of Oman.

Additional Reviewers:

Additional Reviewers: (Comments received after deadline)

Open Peer Review Policy: Click Here

Specific Comment:

Average Peer review marks at initial stage: 7.66/10

Average Peer review marks at publication stage: 9/10

Peer Review History:


Stage 1 | Original Manuscript | File 1 | NA


Stage 2 | Peer Review Report_1 (Rama Lakshmi Boyapati, India) | File 1 | NA


Stage 2 | Peer Review Report_2 (Yevheniia Babenko, Ukraine) | File 1 | NA


Stage 2 | Peer Review Report_3 (Bazeer Ahamed, Sultanate of Oman) | File 1 | NA


Stage 2 | Revised_MS_v1_and_Feedback_v1 | File 1 | File 2


Stage 3 | Comment_Editor_1_v1 | File 1 | NA


Posted in Review History.