Based on prior knowledge, let's analyze the relationship between the feature "nr_08" (Ventricular paroxysmal tachycardia in the anamnesis) and the presence of chronic heart failure in myocardial infarction complications data.

To do this, we can evaluate the frequency or distribution of each category of the feature "nr_08" within the two target classes: "no" (indicating no chronic heart failure) and "yes" (indicating chronic heart failure).

Here is a possible analysis:

For target class "no":
- "nr_08" = "no" - Indicates no ventricular paroxysmal tachycardia in the anamnesis, which may be unrelated to chronic heart failure.
- "nr_08" = "yes" - Indicates ventricular paroxysmal tachycardia in the anamnesis, which may be related to chronic heart failure.

For target class "yes":
- "nr_08" = "no" - Indicates no ventricular paroxysmal tachycardia in the anamnesis, which may be unrelated to chronic heart failure.
- "nr_08" = "yes" - Indicates ventricular paroxysmal tachycardia in the anamnesis, which may be related to chronic heart failure.

From this analysis, we can create the following dictionary:

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

Note: In this analysis, we assumed that the feature "nr_08" directly influences the occurrence of chronic heart failure. However, the actual impact and relationship can only be determined by further analysis using appropriate statistical methods.