Based on prior knowledge, there is no direct relationship between the administration of Fibrinolytic therapy by Celiasum 750k IU and the presence of chronic heart failure in myocardial infarction complications data. However, by analyzing the data, we can determine the possible values of the feature "fibr_ter_01" for each target class.

To create the dictionary, we need to examine the values of "fibr_ter_01" for each target class ("yes" and "no"). We will consider the patients with chronic heart failure (class "yes") and without chronic heart failure (class "no").

Let's assume the following values for "fibr_ter_01":

For patients without chronic heart failure (target class "no"):
- Possible values of "fibr_ter_01": ['no', 'yes']

For patients with chronic heart failure (target class "yes"):
- Possible values of "fibr_ter_01": ['yes']

Now, we can create the dictionary with the given format:

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

Please note that the values in the dictionary are presented as strings in lists, as requested, and that the list for each target class is not empty.