Based on prior knowledge, fibrinolytic therapy is a treatment for acute myocardial infarction (heart attack) where drugs are used to dissolve blood clots in the blood vessels of the heart. Chronic heart failure is a long-term condition where the heart becomes weakened and is unable to pump blood effectively.

Given that the feature "fibr_ter_08" represents whether the patient underwent Fibrinolytic therapy by Streptodecase 1.5m IU, it is unlikely to directly indicate the presence of chronic heart failure. Fibrinolytic therapy is not a specific treatment for chronic heart failure but rather for acute myocardial infarction.

However, it is important to recognize that chronic heart failure can be a complication of myocardial infarction. In this context, patients who have undergone fibrinolytic therapy may have a higher likelihood of experiencing complications such as chronic heart failure compared to those who have not.

Therefore, to analyze the relationship between the feature and the task, let's consider the possible values of "fibr_ter_08" and the target variable (chronic heart failure) for each category:

- If "fibr_ter_08" is "no":
    - Possible values of feature fibr_ter_08 for target class no: ["no"]
    - Possible values of feature fibr_ter_08 for target class yes: []

- If "fibr_ter_08" is "yes":
    - Possible values of feature fibr_ter_08 for target class no: []
    - Possible values of feature fibr_ter_08 for target class yes: ["yes"]

Based on the analysis above, we can now generate the dictionary:

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