Title: Optimizing prediction of metastasis among colorectal cancer patients using machine
learning technology
Version: 0 Date: 26 Mar 2025
Reviewer's report:
1. Collect and integrate relevant data from multiple sources.
2. Preprocess data: handle missing values, encode variables, normalize.
3. Address class imbalance using appropriate techniques.
Title: Optimizing prediction of metastasis among colorectal cancer patients using machine
learning technology
Version: 0 Date: 26 Mar 2025
Reviewer's report:
1. Collect and integrate relevant data from multiple sources.
2. Preprocess data: handle missing values, encode variables, normalize.
3. Address class imbalance using appropriate techniques.
Please review this paper.
user
Title: Optimizing prediction of metastasis among colorectal cancer patients using machine
learning technology
Version: 0 Date: 26 Mar 2025
Reviewer's report:
1. Collect and integrate relevant data from multiple sources.
2. Preprocess data: handle missing values, encode variables, normalize.
3. Address class imbalance using appropriate techniques.
assistant