Based on prior knowledge, the feature "ritm_ecg_p_08" represents the ECG rhythm at the time of admission to the hospital. According to the description, the feature has two categories: "no" and "yes".

To analyze the relationship between this feature and the task of determining whether the myocardial infarction complications data shows chronic heart failure, we need to examine how the different categories of "ritm_ecg_p_08" are associated with the occurrence of chronic heart failure.

Once we examine the relationship, we can create a dictionary that lists the possible values of "ritm_ecg_p_08" for each target class ("no" and "yes"). Here's the dictionary:

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

Considering the description of the feature and the task, it seems that only the values "no" and "yes" for "ritm_ecg_p_08" are relevant in determining the presence of chronic heart failure.