Based on prior knowledge, we can analyze the relationship between the feature n_r_ecg_p_08 (Paroxysms of supraventricular tachycardia on ECG at the time of admission to the hospital) and the task of determining whether the patient has chronic heart failure.

To determine if the myocardial infarction complications data of this patient show chronic heart failure, we need to analyze the values of the feature n_r_ecg_p_08 for the target classes "yes" and "no".

Here is the analysis:

- If the value of n_r_ecg_p_08 is "no", there are no paroxysms of supraventricular tachycardia on ECG at the time of admission to the hospital. This indicates a negative result for chronic heart failure.

- If the value of n_r_ecg_p_08 is "yes", there are paroxysms of supraventricular tachycardia on ECG at the time of admission to the hospital. This could indicate a positive result for chronic heart failure.

Based on this analysis, we can create a dictionary with the possible values of n_r_ecg_p_08 for each target class:

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

In this case, the dictionary is straightforward as the target class "no" is associated with the value "no", and the target class "yes" is associated with the value "yes".