```json
{
    "no": ["no"],
    "yes": ["yes"]
}
```
Based on the feature description, it seems that the presence or absence of Complete LBBB on ECG at the time of admission to the hospital is being used to analyze the likelihood of chronic heart failure. In this case, the feature has two categories: "no" and "yes". 

To determine if the myocardial infarction complications data shows chronic heart failure, we can analyze the relationship between the target variable and the feature. 

If the patient does not have Complete LBBB on ECG at the time of admission to the hospital, it suggests that the patient does not have chronic heart failure (target class "no"). In this case, the possible value for feature n_p_ecg_p_10 is "no".

If the patient has Complete LBBB on ECG at the time of admission to the hospital, it suggests that the patient does have chronic heart failure (target class "yes"). In this case, the possible value for feature n_p_ecg_p_10 is "yes".

Hence, the dictionary representation for this relationship is as follows:
```json
{
    "no": ["no"],
    "yes": ["yes"]
}
```