Based on prior knowledge, I can analyze the relationship between the feature "fibr_ter_07" and the presence of chronic heart failure as follows:

1. If the value of "fibr_ter_07" is "no", it is unlikely to indicate chronic heart failure, since fibrinolytic therapy with Celiasum 250k IU is not typically used in the treatment of chronic heart failure.
2. If the value of "fibr_ter_07" is "yes", it is possible that it indicates chronic heart failure, as fibrinolytic therapy may be used in certain cases related to heart conditions.

Based on this analysis, I can generate the dictionary with the specific details as follows:

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

Note: In this case, since the feature "fibr_ter_07" is a categorical variable, it only has two possible values: "no" and "yes". Therefore, the dictionary simply includes these two values in the respective lists for each target class.