Based on the feature description, we can analyze the relationship between the feature "ZSN_A" and the target variable "chronic heart failure." 

The feature "ZSN_A" represents the presence of chronic heart failure in the patient's anamnesis, with four possible categories: "there is no chronic heart failure," "I stage," "IIА stage," and "IIB stage."

To determine if the myocardial infarction complications data shows chronic heart failure, we need to determine if the value of "ZSN_A" indicates the presence or absence of chronic heart failure. 

Based on prior knowledge, it is likely that the presence of chronic heart failure in the anamnesis (higher stage) would be indicative of chronic heart failure in the myocardial infarction complications data.

To create the dictionary, we need to identify the possible values of "ZSN_A" for each target class, "yes" and "no."

```json
{
	"no": ["there is no chronic heart failure"],
	"yes": ["there is no chronic heart failure", "I stage", "IIА stage", "IIB stage"]
}
```

In this case, the value "there is no chronic heart failure" is common to both target classes, indicating that it may not be a strong indicator of chronic heart failure. However, the other stages (I stage, IIА stage, IIB stage) are present only in the "yes" target class, indicating their potential association with chronic heart failure.