What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

I added the detect_problems function so it checks the patient summary means and uses check_zeros to flag if any patient has a mean inflammation score of 0. Updated other Python functions that process and analyze patients' data.

What did you learn from the changes you have made?

I learned that it’s important to validate the processed data (mean values) rather than the raw dataset. It also showed me how helper functions can make error detection easier.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

No.

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

The file paths in the all_paths variable were throwing errors. I updated the file paths to make it work.

How were these changes tested?

I tested the function with the dataset paths in all_paths. For example, running it on the first file returned False, which matched the expected output.

A reference to a related issue in your repository (if applicable)

N/A

Checklist

• I can confirm that my changes are working as intended