Based on the feature description and task, we want to analyze the relationship between the feature "TIKL_S_n" and the target variable, whether there is chronic heart failure.

To conduct the analysis, we can look at the distribution of the "TIKL_S_n" feature among patients with and without chronic heart failure. We will analyze the possible values of the "TIKL_S_n" feature for each target class.

Let's create a dictionary to represent this analysis:

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

Explanation:
- For the target class "no" (patients without chronic heart failure), the possible value of the feature "TIKL_S_n" is "no".
- For the target class "yes" (patients with chronic heart failure), the possible values of the feature "TIKL_S_n" are "no" and "yes".

Based on the provided information, these are the possible values of the feature "TIKL_S_n" for each target class.