Based on prior knowledge, the feature FK_STENOK represents the functional class of angina pectoris in the last year. Angina pectoris is chest pain or discomfort caused by reduced blood flow to the heart muscle. The functional class is a measure of the severity of the angina symptoms.

To analyze the relationship between FK_STENOK and the presence of chronic heart failure as a myocardial infarction complication, we can assume the following:

- If a patient experienced no angina pectoris in the last year (FK_STENOK = 'there is no angina pectoris'), it is less likely that they have developed chronic heart failure as a complication.
- Patients with a higher functional class of angina pectoris (FK_STENOK = 'IV FC') may have a higher risk of developing chronic heart failure compared to those with lower functional classes (FK_STENOK = 'I FC', 'II FC', or 'III FC').

Based on this analysis, we can create the dictionary:

```json
{
	"no": ["there is no angina pectoris"],
	"yes": ["IV FC", "I FC", "II FC", "III FC."]
}
```

Note that we include all possible values of FK_STENOK regardless of predictability, as it is important to capture all potential patterns in the relationship between the feature and target variable.