Title: Risk prediction and effect evaluation of complicated appendicitis based on XGBoost
modeling
Version: 0 Date: 04 Mar 2025
Reviewer's report:
• The primary output/endpoint variable(s)/measurement(s) of the study should be defined.
• How was the sample size determined? This information should be explained in the Materials
and Methods section.
• Which sampling (probable or non-probable, etc.) method was used in the study?
• Statistical tests for hypothesis testing and their assumptions should be specified in the study's
statistical analysis in the Materials and Methods section.
• The details (version, license number, etc.) of the statistical package(s) or program(s) should be
given in the sub-section of "Data Analysis or Statistical Analysis".
• It should be explained how the qualitative and quantitative data are summarized under the sub-
heading of Statistical Analyses in the Materials and Methods section of the study.
• The exact P values should be added to the table(s) (e.g., p=0.25; p=0.03).
• Which methods are used to model relationships between variables?
• The descriptions and other descriptive values/data should be defined on the tables and shapes.
• Are the data subjected to pre-processing?
• How were extreme/outlier values in the data determined and resolved?
• What approaches were used to test the validity of the models?
• Which metrics were used in the performance evaluation of the estimates of models/algorithms?
• How were the predictive models selected in this study?
• Which method(s) was/were used to optimize the hyperparameters of models/algorithms?
Title: Risk prediction and effect evaluation of complicated appendicitis based on XGBoost
modeling
Version: 0 Date: 04 Mar 2025
Reviewer's report:
• The primary output/endpoint variable(s)/measurement(s) of the study should be defined.
• How was the sample size determined? This information should be explained in the Materials
and Methods section.
• Which sampling (probable or non-probable, etc.) method was used in the study?
• Statistical tests for hypothesis testing and their assumptions should be specified in the study's
statistical analysis in the Materials and Methods section.
• The details (version, license number, etc.) of the statistical package(s) or program(s) should be
given in the sub-section of "Data Analysis or Statistical Analysis".
• It should be explained how the qualitative and quantitative data are summarized under the sub-
heading of Statistical Analyses in the Materials and Methods section of the study.
• The exact P values should be added to the table(s) (e.g., p=0.25; p=0.03).
• Which methods are used to model relationships between variables?
• The descriptions and other descriptive values/data should be defined on the tables and shapes.
• Are the data subjected to pre-processing?
• How were extreme/outlier values in the data determined and resolved?
• What approaches were used to test the validity of the models?
• Which metrics were used in the performance evaluation of the estimates of models/algorithms?
• How were the predictive models selected in this study?
• Which method(s) was/were used to optimize the hyperparameters of models/algorithms?
Please review this paper.
user
Title: Risk prediction and effect evaluation of complicated appendicitis based on XGBoost
modeling
Version: 0 Date: 04 Mar 2025
Reviewer's report:
• The primary output/endpoint variable(s)/measurement(s) of the study should be defined.
• How was the sample size determined? This information should be explained in the Materials
and Methods section.
• Which sampling (probable or non-probable, etc.) method was used in the study?
• Statistical tests for hypothesis testing and their assumptions should be specified in the study's
statistical analysis in the Materials and Methods section.
• The details (version, license number, etc.) of the statistical package(s) or program(s) should be
given in the sub-section of "Data Analysis or Statistical Analysis".
• It should be explained how the qualitative and quantitative data are summarized under the sub-
heading of Statistical Analyses in the Materials and Methods section of the study.
• The exact P values should be added to the table(s) (e.g., p=0.25; p=0.03).
• Which methods are used to model relationships between variables?
• The descriptions and other descriptive values/data should be defined on the tables and shapes.
• Are the data subjected to pre-processing?
• How were extreme/outlier values in the data determined and resolved?
• What approaches were used to test the validity of the models?
• Which metrics were used in the performance evaluation of the estimates of models/algorithms?
• How were the predictive models selected in this study?
• Which method(s) was/were used to optimize the hyperparameters of models/algorithms?
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