Based on prior knowledge, we can analyze the relationship between the feature "GEPAR_S_n" and the target variable "chronic heart failure".

To determine if the patient has chronic heart failure, we need to analyze the correlation between the use of anticoagulants in the ICU (GEPAR_S_n) and the occurrence of chronic heart failure. 

Here is a potential analysis:

- If the feature value (GEPAR_S_n) is "yes":
  - There is a possibility that the patient may have chronic heart failure.
  - Include "yes" in the dictionary for the target class "yes".

- If the feature value (GEPAR_S_n) is "no":
  - There is a possibility that the patient does not have chronic heart failure.
  - Include "no" in the dictionary for the target class "no".

Based on this analysis, we can create the dictionary:

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

Please note that this is a generic analysis based on the given feature and task. The actual relationship might require more specific domain knowledge or additional analysis.