Based on the given feature description and task, we need to analyze the relationship between the feature "n_r_ecg_p_03" and the occurrence of chronic heart failure in patients with myocardial infarction complications.

To accomplish this, we can examine the distribution of "n_r_ecg_p_03" values for each target class: "no" (indicating no chronic heart failure) and "yes" (indicating chronic heart failure).

Here is the dictionary generated based on the analysis:

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

Since the feature "n_r_ecg_p_03" is a categorical variable with only two possible values ("no" and "yes"), and these values directly correspond to the target classes "no" and "yes" in the task, we can conclude that if the patient's "n_r_ecg_p_03" value is "yes", it indicates the presence of chronic heart failure. On the other hand, if the value is "no", it indicates the absence of chronic heart failure.