Based on prior knowledge, the feature "ritm_ecg_p_04" represents the ECG rhythm at the time of admission to the hospital. To determine if the myocardial infarction complications data of this patient show chronic heart failure, we need to analyze the relationship between this feature and the target variable.

To do this analysis, we need to consider the possible values of the "ritm_ecg_p_04" feature for each target class.

Possible values of "ritm_ecg_p_04" for target class "no":
- no: This signifies that the ECG rhythm at the time of admission to the hospital is not atrial.

Possible values of "ritm_ecg_p_04" for target class "yes":
- yes: This signifies that the ECG rhythm at the time of admission to the hospital is atrial.

Based on the given feature description and task, we can create the following dictionary:

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

Please note that since the "ritm_ecg_p_04" feature is a categorical variable with only two possible values, "no" and "yes", the lists for each target class only contain a single string value.