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

Based on the given feature description and task, it appears that the LID_S_n feature represents the use of lidocaine in the ICU. In order to determine whether the patient has chronic heart failure, it seems that the presence or absence of lidocaine usage is being considered.

Since the feature is categorical with only two options, "yes" and "no", the possible values for the target class "no" would be ["no"], indicating that there is no lidocaine usage for patients without chronic heart failure.

Similarly, for the target class "yes", the possible values of the LID_S_n feature would be ["yes"], suggesting that lidocaine is used in the ICU for patients with chronic heart failure.

It's important to note that there might be cases where lidocaine usage is hard to predict or is not associated with the occurrence of chronic heart failure. However, in this analysis, we are only considering the possible values for each target class, ensuring that each list of values is not empty.