Based on prior knowledge, there might be a relationship between gender (SEX) and the presence of chronic heart failure. It is known that chronic heart failure is more prevalent in males compared to females. 

To confirm this relationship, we analyze the feature (SEX) in relation to the target variable (presence of chronic heart failure). The myocardial infarction complications data might provide insight into whether chronic heart failure is present (yes) or not (no) for each patient.

To create the dictionary, we need to analyze the relationship between the feature SEX and the target variable chronic heart failure. However, the feature SEX alone might not be sufficient to predict the presence of chronic heart failure accurately. SEX is a categorical variable with two categories: 'male' and 'female'. 

Here is a dictionary representing the possible values of feature SEX for each target class:

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

In this case, we include both 'male' and 'female' for each target class, as it is not possible to determine a specific category that exclusively indicates the presence or absence of chronic heart failure.