Based on prior knowledge, we can analyze the relationship between the feature "fibr_ter_03" and the target variable "chronic heart failure" by examining the fibrinolytic therapy by Celiasum 3m IU.

To create the dictionary, we need to determine the possible values of the feature "fibr_ter_03" for each target class: "no" and "yes".

Analysis of the relationship between "fibr_ter_03" and "chronic heart failure":

- "no" class (no chronic heart failure):
  - Possible values of "fibr_ter_03": ['no', 'yes']
  - Explanation: In the absence of chronic heart failure, fibrinolytic therapy by Celiasum 3m IU may or may not be administered.

- "yes" class (chronic heart failure):
  - Possible values of "fibr_ter_03": ['no', 'yes']
  - Explanation: In the presence of chronic heart failure, fibrinolytic therapy by Celiasum 3m IU may or may not be administered.

Based on this analysis, we can create the following dictionary:

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

This dictionary indicates that for both the "no" and "yes" classes of chronic heart failure, the possible values of the feature "fibr_ter_03" are ['no', 'yes'].