Based on prior knowledge, the feature "fibr_ter_01" represents whether the patient received fibrinolytic therapy by Celiasum 750k IU or not. To determine if there is a relationship between this feature and the presence of chronic heart failure, we need to analyze the distribution of fibr_ter_01 values for both the "no" and "yes" target classes.

Here is the analysis of the relationship:

For the "no" target class (patients without chronic heart failure):
- Possible values of feature fibr_ter_01: ['no', 'yes']

For the "yes" target class (patients with chronic heart failure):
- Possible values of feature fibr_ter_01: ['no', 'yes']

Based on this analysis, we can create the following dictionary:

```json
{
	"no": ["no", "yes"],
	"yes": ["no", "yes"]
}
```

This suggests that for both target classes, patients can have either "no" or "yes" values for the feature fibr_ter_01.