Based on prior knowledge, a complete left bundle branch block (LBBB) on an electrocardiogram (ECG) can be an indicator of chronic heart failure. Therefore, there is a possibility that patients with a value of "yes" for the feature n_p_ecg_p_10 (Complete LBBB on ECG at the time of admission to the hospital) may show chronic heart failure.

Here is the dictionary based on the analysis:

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

Since the feature is categorical and only has two possible values ("no" and "yes"), we can directly map these values to the target classes. In this case, the value "yes" indicates the presence of a Complete LBBB on ECG, which can be related to chronic heart failure. The value "no" indicates the absence of a Complete LBBB on ECG, which may suggest the absence of chronic heart failure.

Please note that as per the given task, it is not necessary to include values that are hard to predict in the output dictionary.