Based on prior knowledge, it is expected that the feature n_r_ecg_p_09, which represents paroxysms of ventricular tachycardia on an ECG at the time of admission to the hospital, may have an effect on the occurrence of chronic heart failure. However, it is difficult to predict the specific values of this feature that may indicate chronic heart failure without further information.

To create the dictionary, we can assume that the "no" class represents patients without chronic heart failure, while the "yes" class represents patients with chronic heart failure. Based on this assumption, the dictionary can be created as follows:

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

The only possible value for the feature n_r_ecg_p_09 is "no" based on the given information. Since we assume the "yes" class represents patients with chronic heart failure and the only possible value for the feature is "no", we can include it in both lists.