Based on prior knowledge, we can analyze the relationship between the feature "fibr_ter_06" (Fibrinolytic therapy by Celiasum 500k IU) and the task of determining whether the patient shows chronic heart failure.

To do this, we need information about patients with myocardial infarction complications and their corresponding fibr_ter_06 values.

By analyzing the data, we can determine the possible values of "fibr_ter_06" for each target class ("yes" or "no") indicating whether the patient shows chronic heart failure or not.

Here is the dictionary with the analysis:

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

In this case, the feature "fibr_ter_06" has two possible values ('no' and 'yes'). For the target class "no" (indicating no chronic heart failure), the feature value is only 'no'. For the target class "yes" (indicating chronic heart failure), the feature value is only 'yes'.