Based on prior knowledge, we can analyze the relationship between the feature "TIKL_S_n" and the task of determining if the patient shows chronic heart failure.

Since "TIKL_S_n" represents the use of Ticlid in the ICU, it is reasonable to assume that there might be a relationship between this feature and chronic heart failure. Ticlid is a medication used for preventing blood clots, and chronic heart failure can lead to increased risk of clot formation. Therefore, it is possible that patients who have chronic heart failure may be more likely to have been prescribed Ticlid in the ICU.

To create the dictionary, we need to analyze the possible values of "TIKL_S_n" for each target class (yes and no).

Here is the dictionary for the given feature and task:

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

Explanation:
- Patients with chronic heart failure (target class "yes") may or may not have been prescribed Ticlid in the ICU. This is represented by the values "no" and "yes" in the target class "yes".
- Patients without chronic heart failure (target class "no") are not likely to have been prescribed Ticlid in the ICU. Thus, the only possible value for the feature "TIKL_S_n" in the target class "no" is "no".