Based on prior knowledge, we can analyze the relationship between the feature "fibr_ter_02" and the presence of chronic heart failure in the myocardial infarction complications data.

The feature "fibr_ter_02" represents the administration of Fibrinolytic therapy by Celiasum 1m IU and is a categorical variable with two possible categories: 'no' and 'yes'.

To analyze the relationship with the presence of chronic heart failure, we need to look at the distribution of these categories for the different target classes. We can do this by comparing the distribution of 'fibr_ter_02' values for cases with and without chronic heart failure.

Here is a possible analysis:

- For patients without chronic heart failure:
    - 'fibr_ter_02': ['no', 'yes']

- For patients with chronic heart failure:
    - 'fibr_ter_02': ['no', 'yes']

Based on this analysis, we can construct the dictionary as follows:

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

Please note that the given analysis assumes that the feature "fibr_ter_02" is relevant to the prediction of chronic heart failure.