Based on the given feature description and task, we need to analyze the relationship between the feature "ritm_ecg_p_04" and the presence of chronic heart failure in the patient.

As the feature "ritm_ecg_p_04" represents the ECG rhythm at the time of admission to the hospital and is a categorical variable with categories 'no' and 'yes', we can analyze the different values of this feature for each target class.

To generate the dictionary, we will examine the possible values of the feature "ritm_ecg_p_04" for each target class and include them in the dictionary if they are not empty.

Here is the dictionary with the relevant details:

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

In this case, since the feature "ritm_ecg_p_04" is a binary categorical variable, the values 'no' and 'yes' directly represent the absence or presence of chronic heart failure. Thus, the list of each target class contains only one value, which is the corresponding category of the feature.