Based on prior knowledge, the feature "fibr_ter_06" represents whether or not the patient received fibrinolytic therapy by Celiasum 500k IU. To determine if myocardial infarction complications data of this patient show chronic heart failure, we need to analyze the relationship between this feature and the target variable.

To conduct the analysis, we would look at the distribution of the feature values within each target class. We will identify the possible values of the feature "fibr_ter_06" for each target class, 'no' and 'yes'.

Here is the dictionary summarizing the possible values of feature "fibr_ter_06" for each target class:

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

Since the feature "fibr_ter_06" is a categorical variable with only two possible categories, "no" and "yes", we don't need to include any values that are hard to predict.