Based on my prior knowledge, the use of lidocaine in the ICU (feature LID_S_n) may have an impact on the occurrence of chronic heart failure (target variable).

To analyze the relationship between feature LID_S_n and the occurrence of chronic heart failure, we can examine the distribution of LID_S_n values for each target class (yes and no).

Let's analyze the relationship and create the dictionary:

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

In this case, the feature LID_S_n can only take two possible values: "yes" and "no". For the target class "no" (indicating no chronic heart failure complications), the only possible value for LID_S_n is "no". For the target class "yes" (indicating chronic heart failure complications), the only possible value for LID_S_n is "yes".

Therefore, the dictionary only contains one value for each target class.