Based on prior knowledge, we can analyze the relationship between the feature "STENOK_AN" and the target variable "chronic heart failure" in patients with myocardial infarction complications.

Since the feature "STENOK_AN" represents the presence or absence of exertional angina pectoris in the anamnesis, we can hypothesize that patients who have experienced angina pectoris in the past may be more likely to develop chronic heart failure.

Based on this analysis, the dictionary would look as follows:

```json
{
    "no": ["never", "more than 5 years ago"],
    "yes": ["during the last year", "4-5 years ago", "one year ago", "two years ago", "three years ago"]
}
```

Here, the possible values of "STENOK_AN" for the target class "no" are "never" (indicating no history of angina pectoris) and "more than 5 years ago" (indicating angina pectoris occurred more than 5 years ago). 

For the target class "yes" (indicating the presence of chronic heart failure), the possible values of "STENOK_AN" are "during the last year", "4-5 years ago", "one year ago", "two years ago", and "three years ago" (indicating angina pectoris occurred within these time frames).

It is not necessary to include the values that are hard to predict or for which we do not have enough information, as long as there are values in each list for both target classes.