Based on prior knowledge, we can infer that the presence and severity of angina symptoms (exertional angina pectoris) in the patient's medical history might be related to the development of chronic heart failure following myocardial infarction. We expect that patients who have experienced more recent episodes of angina may be at a higher risk of chronic heart failure.

Now let's analyze the relationship between the feature, "STENOK_AN" (exertional angina pectoris in the anamnesis), and the target variable, whether the patient shows chronic heart failure.

To create the dictionary, we need to identify the possible values of the feature "STENOK_AN" for each target class, "yes" and "no".

For the "yes" class (chronic heart failure present):
- From the provided categories, we can assume that any recent history of angina (within the last year) or ongoing angina symptoms ("never") might indicate a higher likelihood of chronic heart failure. Therefore, the possible values of "STENOK_AN" for the "yes" class would be: ['never', 'during the last year'].

For the "no" class (chronic heart failure not present):
- It is not possible to determine specific values of "STENOK_AN" that would definitively exclude chronic heart failure. However, it is reasonable to assume that patients who experienced angina symptoms more than five years ago might be less likely to develop chronic heart failure as a consequence. Therefore, the possible values of "STENOK_AN" for the "no" class would be: ['more than 5 years ago'].

Based on this analysis, here is the required dictionary:

```json
{
	"no": ["more than 5 years ago"],
	"yes": ["never", "during the last year"]
}
```