Based on prior knowledge, it is not possible to directly determine if the patient has chronic heart failure based solely on the information about the use of lidocaine in the ICU (LID_S_n).

However, we can analyze the relationship between the feature and the target class by examining the distribution of the feature values for each target class.

Here is the analysis:

- Target class: "no"
  - Possible values of feature LID_S_n: ['no', 'yes']

- Target class: "yes"
  - Possible values of feature LID_S_n: ['no', 'yes']

Based on this analysis, we can create the following dictionary:

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

Note that the possible feature values for both target classes are the same ('no', 'yes').

Please let me know if you need any further assistance.