Based on prior knowledge, the presence of an anterior myocardial infarction (ant_im) can be related to chronic heart failure. It is possible for a patient with chronic heart failure to have a history of an anterior myocardial infarction. Therefore, it is necessary to analyze the relationship between the presence of an anterior myocardial infarction and chronic heart failure.

In order to create the dictionary, we need to determine the possible values of the ant_im feature for each target class.

Let's analyze the relationship between ant_im and chronic heart failure:

If the target variable indicates chronic heart failure, it is possible that the ant_im feature can have the following values:
- 'QRS is like QS-complex'
- 'QRS has no changes'
- 'QRS is like QR-complex'
- 'QRS is like Qr-complex'

If the target variable does not indicate chronic heart failure, it is possible that the ant_im feature can have the following value:
- 'there is no infarct in this location'

Based on this analysis, we can create the dictionary:

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