Based on prior knowledge, the feature "n_r_ecg_p_05" which represents paroxysms of atrial fibrillation on an ECG at the time of admission to the hospital can potentially relate to the presence of chronic heart failure in the patient. Atrial fibrillation is a common complication in patients with chronic heart failure.

To analyze the relationship between this feature and the task of determining the presence of chronic heart failure, we need data that includes the values of the feature "n_r_ecg_p_05" along with the corresponding target variable indicating whether chronic heart failure is present or not.

Now, let's create the dictionary as requested:

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

Based on the provided categories for the "n_r_ecg_p_05" feature, it seems that the only possible values in this dataset are "no" and "yes". Therefore, the dictionary includes these values as strings in the lists for each target class.