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

Based on the given feature "fibr_ter_01" and the task of determining if the patient has chronic heart failure, the relationship between the feature and the target variable can be analyzed as follows:

The feature "fibr_ter_01" represents the occurrence of fibrinolytic therapy by Celiasum 750k IU. The feature is a categorical variable with two possible categories: "no" and "yes". 

In this analysis, the focus is on whether the patient shows chronic heart failure or not. 

From the available information, we can see that if the value of "fibr_ter_01" is "no", it implies that the patient did not receive fibrinolytic therapy by Celiasum 750k IU. 

Therefore, if the patient has chronic heart failure, the value of "fibr_ter_01" will likely be "yes" since fibrinolytic therapy may be administered as a treatment for chronic heart failure. 

In the absence of any other information, we cannot make a definitive determination of the presence of chronic heart failure solely based on the feature "fibr_ter_01". 

The dictionary above summarizes the relationship between the feature "fibr_ter_01" and the target variable by listing the possible values of "fibr_ter_01" for each target class. In this case, both target classes (no and yes) have only one possible value for the feature "fibr_ter_01".