Based on my prior knowledge, the feature "fibr_ter_07" represents whether the patient has received fibrinolytic therapy using Celiasum 250k IU. To analyze the relationship between this feature and the presence of chronic heart failure, we need to examine the distribution of fibr_ter_07 values for both the "no" and "yes" classes of the target variable.

Here is the analysis:

For patients with chronic heart failure (target class "yes"):
- Possible values of feature fibr_ter_07: ['no', 'yes']

For patients without chronic heart failure (target class "no"):
- Possible values of feature fibr_ter_07: ['no', 'yes']

Based on this analysis, here is the dictionary:

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

Please note that the dictionary includes all the possible values of the feature "fibr_ter_07" for both target classes, as requested.