Based on the given feature description and task, the goal is to determine whether the presence of chronic heart failure can be inferred from the fibr_ter_06 feature.

To analyze the relationship between the feature fibr_ter_06 and the presence of chronic heart failure, we can examine the distribution of fibr_ter_06 values within each target class.

Let's assume we have a dataset with myocardial infarction complications data for multiple patients and the corresponding information on whether they have chronic heart failure or not.

Here's the analysis of the relationship between the feature fibr_ter_06 and the presence of chronic heart failure:

1. Target Class "No":
   - Possible values of fibr_ter_06 for target class "No": ['no']
   - Explanation: Based on the given feature description, if the value of fibr_ter_06 is 'no', it means that fibrinolytic therapy by Celiasum 500k IU was not administered. This implies that the patient did not receive this specific treatment. Therefore, it is reasonable to assume that if the fibr_ter_06 value is 'no', the patient does not have chronic heart failure.

2. Target Class "Yes":
   - Possible values of fibr_ter_06 for target class "Yes": ['yes']
   - Explanation: Conversely, if the value of fibr_ter_06 is 'yes', it indicates that fibrinolytic therapy by Celiasum 500k IU was administered to the patient. This suggests that the patient might have received this specific treatment due to the presence of chronic heart failure. Therefore, it is reasonable to assume that if the fibr_ter_06 value is 'yes', the patient has chronic heart failure.

Based on this analysis, we can create the required dictionary:

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

However, it's important to note that this analysis is based on the assumption that the feature fibr_ter_06 accurately reflects the administration or non-administration of fibrinolytic therapy by Celiasum 500k IU. The presence of chronic heart failure is inferred based on this assumption. Further validation of the relationship between fibr_ter_06 and chronic heart failure may be required through additional data analysis or domain expertise.