A Review of Automatic Phenotyping Approaches using Electronic Health Records

Round 1

Reviewer 1 Report

This paper provides a review of methods for mining Electronic Health Records to retrieve those patients that fulfil particular criteria, such as particular diseases, levels, conditions. Papers relevant to this topic have been analysed and are presented and discussed per step of the overall analysis process. 

The paper is well written and easy-to-follow. 

The paper would benefit researchers that would like to read a quick introduction to the topic, that summarises existing works. Apart from this benefit, the paper does not have novel research contribution.

Author Response

Hadeel Alzoubi
University of the West of Scotland
School of Computing and Engineering
PA1 2BE Paisley, United Kingdom
Tel +44 (0) 141 848 3648
Editorial Journal of Electronics,
Prof. Josephine Yang
Jordan, Oct 20, 2019
Responses to the reviewer's comments on the paper titled: A Review of Automatic Phenotyping
Approaches using Electronic Health Records (electronics-615932)
Dear Prof. Yang
The authors would like to thank the reviewers for their constructive feedback and comments, which
enabled us to substantially improve the quality of our manuscript. We have made the necessary changes
and corrections to the paper, taking into account the mentioned comments. The key modifications that
have been made on the paper in line with the recommendations of the reviewers are as follows:
 More detailed clarifications were added in various sections of the manuscript.
 The overall writing style of our manuscript has been improved.
Given below are our point-to-point responses to each of the comments of the reviewers. The
modifications made have now been incorporated in the revised manuscript and are in a red color within
the text. Please note that apart from the reviewers comments, additional smaller corrections/ additions/
clarifications have been made as well.
Yours Sincerely,
The Authors:
Hadeel Alzoubi (Corresponding author; [email protected]);
Prof. Naeem Ramzan ([email protected]); Dr. Daune West ([email protected]); Raid
Alzubi ([email protected]);Tawfik Al-Hadhrami ([email protected]); Mamoun Alazab
([email protected])
2
Responses - Reviewer 1
Comment 1: This paper provides a review of methods for mining Electronic Health Records to
retrieve those patients that fulfill particular criteria, such as particular diseases, levels, conditions. Papers
relevant to this topic have been analysed and are presented and discussed per step of the overall analysis
process. The paper is well written and easy-to-follow. The paper would benefit researchers that would
like to read a quick introduction to the topic that summarises existing works. Apart from this benefit, the
paper does not have a novel research contribution.
Response 1: Thank you for your comments. We believe that this paper could make a great help to
researchers in the field. Our aim in this review paper is presenting a general model that follows the
sequence steps of analyzing medical text to guide researchers in the field.

Reviewer 2 Report

My comments are:

Please give the disadvantages of the proposed techniques in the paper and how to overcome these disadvantageous. Some writing errors and small typos were found in the manuscript, please correct and check all the probable errors and mistakes. Future research directions should be provided in the Conclusion Section.

Author Response

Hadeel Alzoubi
University of the West of Scotland
School of Computing and Engineering
PA1 2BE Paisley, United Kingdom
Tel +44 (0) 141 848 3648
Editorial Journal of Electronics,
Prof. Josephine Yang
Jordan, Oct 20, 2019
Responses to the reviewers comments on the paper titled: A Review of Automatic Phenotyping
Approaches using Electronic Health Records (electronics-615932)
Dear Prof. Yang
The authors would like to thank the reviewers for their constructive feedback and comments, which
enabled us to substantially improve the quality of our manuscript. We have made the necessary changes
and corrections to the paper, taking into account the mentioned comments. The key modifications that
have been made on the paper in line with the recommendations of the reviewers are as follows:
 More detailed clarifications were added in various sections of the manuscript.
 The overall writing style of our manuscript has been improved.
Given below are our point-to-point responses to each of the comments of the reviewers. The
modifications made have now been incorporated in the revised manuscript and are in a red color within
the text. Please note that apart from the reviewers comments, additional smaller corrections/ additions/
clarifications have been made as well.
Yours Sincerely,
The Authors:
Hadeel Alzoubi (Corresponding author; [email protected]);
Prof. Naeem Ramzan ([email protected]); Dr. Daune West ([email protected]); Raid
Alzubi ([email protected]);Tawfik Al-Hadhrami ([email protected]); Mamoun Alazab
([email protected])

Responses - Reviewer 2
Comment 1:
Please give the disadvantages of the proposed techniques in the paper and how to overcome these
disadvantageous.
Response 1: The disadvantages of the proposed techniques in the paper have been added in (Page 6
paragraph 2,Page 7 paragraph 1, and Page 8 paragraph 2).
Comment 2: Some writing errors and small typos were found in the manuscript, please correct and check
all the probable errors and mistakes.
Response 2: The typo errors and mistakes have been updated.
Comment 3: Future research directions should be provided in the Conclusion Section.
Response 3: Future research directions have been added in the Conclusion section

Round 2

Reviewer 2 Report

I recommend it for acceptance.