Based on the given feature description and task, we are trying to determine if the patient has chronic heart failure based on the presence of Complete LBBB on ECG at the time of admission to the hospital.

To analyze the relationship between the feature "n_p_ecg_p_10" and chronic heart failure, we need to examine the different categories of the feature for each possible target class:

For patients without chronic heart failure (target class "no"), they may have the following possible values of the feature "n_p_ecg_p_10":

- "no"

For patients with chronic heart failure (target class "yes"), they may have the following possible values of the feature "n_p_ecg_p_10":

- "yes"

Based on this analysis, we can create the following dictionary:

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

Please note that if there are other values of the feature "n_p_ecg_p_10" that are hard to predict or not mentioned in the given data, we do not include them in the dictionary. However, in this case, both target classes have at least one valid value for the feature.