Based on prior knowledge, fibr_ter_03 is a categorical feature representing whether the patient received fibrinolytic therapy by Celiasum 3m IU. To analyze the relationship between this feature and the occurrence of chronic heart failure, we can examine the distribution of fibr_ter_03 values for patients with and without chronic heart failure.

Assuming we have data on patients with myocardial infarction complications, we can create a dictionary to show the relationship between fibr_ter_03 and the presence or absence of chronic heart failure. Here's an example dictionary:

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

In this example, the "no" key represents the target class of patients without chronic heart failure. The feature value of "no" in fibr_ter_03 is ["no"] as all patients without chronic heart failure have the value "no" for fibr_ter_03.

The "yes" key represents the target class of patients with chronic heart failure. In this case, the feature values of "yes" in fibr_ter_03 are ["no", "yes"]. This means that some patients with chronic heart failure have received fibrinolytic therapy (fibr_ter_03 = "yes"), while others have not (fibr_ter_03 = "no").

Please note that this is just an example based on the information provided. The actual data and relationship between fibr_ter_03 and chronic heart failure may vary.