Based on the given feature and task, we need to analyze how the feature "fibr_ter_01" relates to the presence or absence of chronic heart failure in a patient with myocardial infarction complications.

To analyze this relationship, we can examine the distribution of "fibr_ter_01" values for both the "yes" (chronic heart failure present) and "no" (chronic heart failure absent) classes.

Here is an example dictionary representing the relationship between the feature "fibr_ter_01" and the target variable:

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

Note that in this case, the feature value "no" is only associated with the target class "no", and the feature value "yes" is only associated with the target class "yes".

Please note that this is a hypothetical example based on the provided information, and the actual analysis and resulting dictionary may vary depending on the dataset and analysis performed.