Based on prior knowledge, we can analyze the relationship between the feature "GEPAR_S_n" (Use of а anticoagulants in the ICU) and the target variable of chronic heart failure. 

To determine whether the patient shows chronic heart failure, we need to analyze how the use of anticoagulants in the ICU is related to chronic heart failure. 

To accomplish this, we can examine the distribution of the feature "GEPAR_S_n" for each class of the target variable and see if there is any significant difference.

Here is an example analysis for the given feature and task:

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

In this case, based on the given feature and task, patients with both "yes" and "no" values for the feature "GEPAR_S_n" can be present in both target classes "yes" and "no".

Please note that this is just an example analysis. The actual relationship may vary depending on the dataset and other factors.