Based on prior knowledge, we can analyze the relationship between the feature "n_r_ecg_p_02" and the presence of chronic heart failure in myocardial infarction complications.

- For the target class "no" (indicating no chronic heart failure), the possible values of the feature "n_r_ecg_p_02" could be:
  - 'no': This indicates that there were no frequent premature atrial contractions on ECG at the time of admission to the hospital.

- For the target class "yes" (indicating chronic heart failure), the possible values of the feature "n_r_ecg_p_02" could be:
  - 'yes': This indicates the presence of frequent premature atrial contractions on ECG at the time of admission to the hospital.

Based on this analysis, the dictionary can be generated as follows:

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

Since the feature "n_r_ecg_p_02" is a categorical variable with only two possible values ('no' and 'yes'), there is no need to include any other values in the dictionary.