Based on prior knowledge, fibrinolytic therapy is a treatment for myocardial infarction, which is the primary cause of chronic heart failure. Therefore, it is likely that patients who have received fibrinolytic therapy would show chronic heart failure.

To analyze the relationship between the feature fibr_ter_08 and the target variable of chronic heart failure, we can examine the occurrences of each value of the feature for both classes of the target variable.

Based on the given feature description, we have the following information:

Feature: fibr_ter_08
- Categories: ['no', 'yes']

To create the dictionary, we need to identify the possible values of the feature fibr_ter_08 for each target class. Let's analyze the relationship:

For the target class "no" (no chronic heart failure):
- Possible values of feature fibr_ter_08: ['no']

For the target class "yes" (chronic heart failure):
- Possible values of feature fibr_ter_08: ['yes']

Based on our analysis, the dictionary representation will be:

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

Please note that there is only one possible value for each target class, as indicated by the feature description.