Title: Decoding IBS: A Machine Learning Approach to Psychological Distress and Gut-Brain
Interaction
Version: 0 Date: 11 May 2024
Reviewer's report:
Dear authors, this is an interesting study with findings that could help us with making IBS groups
more homogenous and target for individualized treatment.
Some comments from the text:
The aim not clearly stated in the background
Method: Few participants were involved, Is there a power calculation done.
Results:  few patients, few controls compared to IBS patients.
Title: Decoding IBS: A Machine Learning Approach to Psychological Distress and Gut-Brain
Interaction
Version: 0 Date: 11 May 2024
Reviewer's report:
Dear authors, this is an interesting study with findings that could help us with making IBS groups
more homogenous and target for individualized treatment.
Some comments from the text:
The aim not clearly stated in the background
Method: Few participants were involved, Is there a power calculation done.
Results:  few patients, few controls compared to IBS patients.
Please review this paper.
user
Title: Decoding IBS: A Machine Learning Approach to Psychological Distress and Gut-Brain
Interaction
Version: 0 Date: 11 May 2024
Reviewer's report:
Dear authors, this is an interesting study with findings that could help us with making IBS groups
more homogenous and target for individualized treatment.
Some comments from the text:
The aim not clearly stated in the background
Method: Few participants were involved, Is there a power calculation done.
Results:  few patients, few controls compared to IBS patients.
assistant