Title: Biological Age Prediction and NAFLD Risk Assessment: A Machine Learning Model
Based on a Multicenter Population in Nanchang, Jiangxi, China
Version: 2 Date: 04 Jan 2025
Reviewer's report:
The authors have allegedly attempted to investigate Biological Age Prediction and NAFLD Risk
Assessment using  A Machine Learning Model Based on a Multicenter Population in China.
1. The introduction is long and not focused.
2. The rationale behind the study has been poorly stated.
3. The aim of the study is not clear.
4. It is not clear what new information is supposed to come out of this analysis.
5. Several biomarkers used in the analyses might have been collinear or even correlated. This
must be remedied.
6. The calibration and predictive discriminatory power of the prediction model for all cause
mortality must be reported.
7. How this information could be used in every day clinical encounters?
Title: Biological Age Prediction and NAFLD Risk Assessment: A Machine Learning Model
Based on a Multicenter Population in Nanchang, Jiangxi, China
Version: 2 Date: 04 Jan 2025
Reviewer's report:
The authors have allegedly attempted to investigate Biological Age Prediction and NAFLD Risk
Assessment using  A Machine Learning Model Based on a Multicenter Population in China.
1. The introduction is long and not focused.
2. The rationale behind the study has been poorly stated.
3. The aim of the study is not clear.
4. It is not clear what new information is supposed to come out of this analysis.
5. Several biomarkers used in the analyses might have been collinear or even correlated. This
must be remedied.
6. The calibration and predictive discriminatory power of the prediction model for all cause
mortality must be reported.
7. How this information could be used in every day clinical encounters?
Please review this paper.
user
Title: Biological Age Prediction and NAFLD Risk Assessment: A Machine Learning Model
Based on a Multicenter Population in Nanchang, Jiangxi, China
Version: 2 Date: 04 Jan 2025
Reviewer's report:
The authors have allegedly attempted to investigate Biological Age Prediction and NAFLD Risk
Assessment using  A Machine Learning Model Based on a Multicenter Population in China.
1. The introduction is long and not focused.
2. The rationale behind the study has been poorly stated.
3. The aim of the study is not clear.
4. It is not clear what new information is supposed to come out of this analysis.
5. Several biomarkers used in the analyses might have been collinear or even correlated. This
must be remedied.
6. The calibration and predictive discriminatory power of the prediction model for all cause
mortality must be reported.
7. How this information could be used in every day clinical encounters?
assistant