Based on prior knowledge, the use of liquid nitrates in the ICU (NITR_S) may have a relationship with chronic heart failure in patients who experienced myocardial infarction complications.

To analyze the relationship between the feature NITR_S and the task of determining if the patient has chronic heart failure, we need to examine how the values of NITR_S are distributed among the two target classes: "yes" (indicating chronic heart failure) and "no" (indicating no chronic heart failure).

By analyzing the data, we can create a dictionary that shows the possible values of NITR_S for each target class.

Here is the dictionary for the given information:

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

In this case, the feature NITR_S has only two categories: "no" and "yes". Both categories are present in the target classes "no" and "yes", respectively.