Based on prior knowledge, there is no direct relationship between gender (SEX) and the presence of chronic heart failure in patients with myocardial infarction complications. However, it is still worth analyzing the relationship between the two variables to confirm this.

To analyze the relationship between gender (SEX) and the presence of chronic heart failure, we would need access to a dataset containing the myocardial infarction complications data of different patients, including information about their gender and whether they have chronic heart failure. By comparing the distribution of gender for patients with and without chronic heart failure, we can determine if there is any association between gender and the presence of chronic heart failure.

Unfortunately, without access to the actual dataset, it is not possible to provide specific details regarding the relationship between gender and chronic heart failure. However, we can still create a dictionary structure as requested, assuming we have the required dataset:

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

In this case, since gender (SEX) is a categorical variable with only two categories ('male' and 'female'), we include both categories in the list for each target class (no and yes). This assumes that the dataset contains patients of both genders in each target class.