Based on my analysis, I will examine the relationship between the feature "n_r_ecg_p_05" and the occurrence of chronic heart failure in myocardial infarction patients. 

To do so, I will compare the values of the "n_r_ecg_p_05" feature for patients who show chronic heart failure (target class: yes) and those who do not (target class: no). By examining the distribution of feature values in each class, we can determine if there is any relationship between the feature and the target variable.

Here is the generated dictionary:

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

In this case, both target classes have the same possible values for the feature "n_r_ecg_p_05". This means that the presence of paroxysms of atrial fibrillation on ECG at the time of admission to the hospital does not provide any specific information about the occurrence of chronic heart failure in myocardial infarction patients.