Based on my prior knowledge, the feature "n_r_ecg_p_05" represents the presence or absence of paroxysms of atrial fibrillation on the electrocardiogram (ECG) at the time of admission to the hospital. 

To determine whether the myocardial infarction complications data of this patient show chronic heart failure, we need to analyze the relationship between the feature "n_r_ecg_p_05" and the target variable.

Here is the analysis:

- If the value of "n_r_ecg_p_05" is "no", it means there were no paroxysms of atrial fibrillation observed on the ECG at the time of admission to the hospital.
- If the value of "n_r_ecg_p_05" is "yes", it means there were paroxysms of atrial fibrillation observed on the ECG at the time of admission to the hospital.

Now, let's create the dictionary:

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

Since the feature "n_r_ecg_p_05" has only two possible categories ('no' and 'yes'), we include both in the dictionary.