Based on prior knowledge, we can analyze the relationship between the feature "ritm_ecg_p_08" and the target variable "chronic heart failure" (CHF). The "ritm_ecg_p_08" feature represents the ECG rhythm at the time of admission to the hospital. Specifically, it indicates whether the ECG rhythm is sinus with a heart rate below 60.

To determine if myocardial infarction complications show chronic heart failure (CHF), we need to analyze the relationship between the "ritm_ecg_p_08" feature and the occurrence of CHF.

Possible scenarios:

1. If the ECG rhythm at admission is reported as "no," indicating that it is not sinus with a heart rate below 60, it is less likely to be associated with CHF. Therefore, the occurrence of CHF may be less likely in this case.

2. If the ECG rhythm at admission is reported as "yes," indicating that it is sinus with a heart rate below 60, it is more likely to be associated with CHF. Therefore, the occurrence of CHF may be more likely in this case.

Based on this analysis, we can create the dictionary as follows:

```json
{
	"no": ["no"], 
	"yes": ["yes"]
}
```

In this case, the possible values of the feature "ritm_ecg_p_08" for the target class "no" is ["no"], and for the target class "yes" is ["yes"].