Based on prior knowledge, fibrinolytic therapy is a treatment option for patients with acute myocardial infarction. Chronic heart failure, on the other hand, typically arises as a result of long-standing heart disease or damage to the heart muscle, such as after a heart attack.

To analyze the relationship between the feature "fibr_ter_01" and the task of determining chronic heart failure, we would expect to see a potential association between patients who received fibrinolytic therapy and those who do not show chronic heart failure. However, it's important to note that this analysis is based on assumptions and may not fully capture the complexity of the relationship between the feature and target variable.

Based on this analysis, we can create a dictionary with the possible values of the feature "fibr_ter_01" for each target class:

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

Since the feature "fibr_ter_01" is a categorical variable with only two possible categories, "no" and "yes," we include these values in the dictionary for their respective target classes.