Based on prior knowledge, we can analyze the relationship between the feature INF_ANAM (Quantity of myocardial infarctions in the anamnesis) and the presence of chronic heart failure in myocardial infarction complications data of a patient.

Here is the analysis:

- If the value of INF_ANAM is 'zero', it indicates that there were no myocardial infarctions in the patient's medical history. In this case, it is unlikely that the patient would have chronic heart failure as a result of myocardial infarctions. Therefore, the target class 'no' is possible for this value.

- If the value of INF_ANAM is 'one', it indicates that there was one myocardial infarction in the patient's medical history. This could potentially lead to chronic heart failure. Therefore, the target class 'yes' is possible for this value.

- If the value of INF_ANAM is 'two' or 'three and more', it indicates that there were multiple myocardial infarctions in the patient's medical history. This significantly increases the likelihood of chronic heart failure. Therefore, the target class 'yes' is possible for these values.

Based on this analysis, we can create the following dictionary:

```json
{
	"no": ["zero"],
	"yes": ["one", "two", "three and more"]
}
```

This dictionary shows the possible values of feature INF_ANAM for the target classes 'no' and 'yes'.