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

Based on the feature description and the task, it seems that the presence or absence of fibrinolytic therapy (fibr_ter_08) is being used to determine if the patient has chronic heart failure. Since the categories are 'no' and 'yes', we can speculate that 'no' indicates that the patient does not have chronic heart failure, while 'yes' indicates the presence of chronic heart failure.

Therefore, the values of fibr_ter_08 for the target class 'no' would be ['no'], indicating that if fibr_ter_08 is 'no', it suggests that the patient does not have chronic heart failure.

Similarly, the values of fibr_ter_08 for the target class 'yes' would be ['yes'], indicating that if fibr_ter_08 is 'yes', it suggests that the patient has chronic heart failure.

It is important to note that the values of fibr_ter_08 that are hard to predict or not specified are not included in the dictionary. The resulting lists, however, should not be empty for each target class.