Based on prior knowledge, there might be a correlation between the gender (SEX) and the occurrence of chronic heart failure in myocardial infarction complications. However, it is important to conduct an analysis to determine the relationship between the feature and the target variable.

To analyze this relationship, we can examine the distribution of the SEX feature for each target class (chronic heart failure).

Let's analyze the data and create the required dictionary:

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

In this case, both the "no" and "yes" target classes have the same possible values for the feature SEX, which are "male" and "female".