```json
{
    "no": ["no"],
    "yes": ["no", "yes"]
}
```
Based on the given feature "NITR_S" and the task of determining whether the patient with myocardial infarction complications shows chronic heart failure, we can analyze the relationship between the feature and the target class.

For the target class "no" (indicating no chronic heart failure), the possible values of the feature "NITR_S" are "no". This indicates that patients without chronic heart failure did not use liquid nitrates in the ICU.

For the target class "yes" (indicating chronic heart failure), the possible values of the feature "NITR_S" are "no" and "yes". This indicates that some patients with chronic heart failure did not use liquid nitrates in the ICU, while others did use liquid nitrates.

It's important to note that the values of the feature "NITR_S" that are hard to predict are not included in the dictionary. However, for each target class, the list is not empty, which means that there are patients belonging to both target classes with the specified feature values.