Based on prior knowledge, the presence of an anterior myocardial infarction (ant_im) can be a contributing factor in the development of chronic heart failure. 

To determine the relationship between ant_im and the presence of chronic heart failure, we need data that includes both ant_im values and information about the occurrence of chronic heart failure for each patient. This data can then be analyzed to identify any patterns or correlations.

Once the data is available, we can create a dictionary that categorizes the possible values of ant_im for each target class (yes or no) of chronic heart failure.

Here is an example of how the dictionary may look:

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

In this example, the data analysis suggests that patients with chronic heart failure tend to have ant_im values of "QRS is like QR-complex" or "QRS is like Qr-complex". However, it is important to note that this is a hypothetical example, and the actual relationship between ant_im and chronic heart failure can only be determined through a thorough analysis of the available data.