Based on my prior knowledge, there could be some relationship between the usage of liquid nitrates in the ICU (NITR_S) and the occurrence of chronic heart failure in myocardial infarction complications. 

To analyze this relationship and generate the dictionary, we need to examine the different values of NITR_S for the two target classes: "no" (indicating no chronic heart failure) and "yes" (indicating chronic heart failure).

Let's analyze the data and create the dictionary:

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

In this case, the dictionary indicates that for the target class "no" (no chronic heart failure), the only possible value for NITR_S is "no". Similarly, for the target class "yes" (chronic heart failure), the only possible value for NITR_S is "yes".

Please note that since the feature description does not provide any additional categories for NITR_S, there are no other values to include in the dictionary.

This relationship analysis suggests that the use of liquid nitrates in the ICU (NITR_S) might be strongly related to the occurrence of chronic heart failure in myocardial infarction complications.