Based on prior knowledge, it is expected that the presence of an anterior myocardial infarction (ant_im) can be related to the likelihood of chronic heart failure. Specifically, individuals with an anterior myocardial infarction may be more predisposed to developing chronic heart failure.

To create the dictionary, we need to analyze the relationship between the ant_im feature and the occurrence of chronic heart failure (target variable). We will categorize the ant_im values based on their relationship with chronic heart failure.

Based on the description of the ant_im feature, we can assign the possible values to each of the target classes:

```json
{
	"no": ["QRS has no changes", "there is no infarct in this location"],
	"yes": ["QRS is like QS-complex", "QRS is like QR-complex", "QRS is like Qr-complex"]
}
```

In this case, the "no" class includes the values where there are either no changes in QRS or no infarct in the anterior location. The "yes" class comprises values where QRS complexes resemble a QS-complex, QR-complex, or Qr-complex.

Note that there is no need to include values that are hard to predict or do not have a clear relationship with the target. The lists of values for each target class should not be empty.