Based on the given feature "GT_POST" which indicates whether there are paroxysms of ventricular tachycardia at the time of admission to the intensive care unit, we can analyze its relationship with the occurrence of chronic heart failure in myocardial infarction complications data.

Analyzing the relationship, we can create a dictionary with the possible values of the feature "GT_POST" for each target class:

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

Since the feature "GT_POST" is a binary categorical variable with categories "no" and "yes", we can directly map these categories to the corresponding target class.

Hence, in this case, the dictionary indicates that when the feature "GT_POST" is "no", it does not show chronic heart failure, and when it is "yes", it shows chronic heart failure.

Note: Since the feature "GT_POST" is a binary categorical variable, there are no other possible values. Therefore, the lists for each target class only contain the single value corresponding to the feature category.