Based on prior knowledge, we can analyze the relationship between the feature "fibr_ter_03" and the presence of chronic heart failure in myocardial infarction complications.

To do so, we need to examine the distribution of "fibr_ter_03" values for each target class (chronic heart failure present or not).

Here is the corresponding dictionary:

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

Explanation:
- When chronic heart failure is not present (target class: "no"), the only possible value for "fibr_ter_03" is "no".

- When chronic heart failure is present (target class: "yes"), both "no" and "yes" values for "fibr_ter_03" are possible.

Therefore, the possible values for "fibr_ter_03" in each target class are included in the dictionary.