Based on prior knowledge, the feature ritm_ecg_p_08, which represents the ECG rhythm at the time of admission to the hospital, is sinus with a heart rate below 60. 

To analyze the relationship between this feature and the presence of chronic heart failure in the patient, we can examine the possible values of ritm_ecg_p_08 for the target classes "no" and "yes".

Here is the dictionary representing the relationship between the feature and the target:

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

Since the feature description categorizes ritm_ecg_p_08 as "sinus with a heart rate below 60," it is clear that only the category "yes" is relevant for determining the presence of chronic heart failure. Therefore, the "no" class contains only the value "no" while the "yes" class contains the value "yes".

Please note that according to the problem statement, we only need to include values that are known or can be predicted. In this case, since the feature description explicitly specifies the category "sinus with a heart rate below 60" for "yes", we do not include other possible values as they are not necessary for the given task.