Based on prior knowledge, I can analyze the relationship between the feature "ASP_S_n" and the task of determining whether the patient shows chronic heart failure.

To perform this analysis, I would need access to the myocardial infarction complications data for multiple patients. By observing the data, I can identify how the feature "ASP_S_n" (use of acetylsalicylic acid in the ICU) relates to the target variable (chronic heart failure).

Assuming that the dataset contains information for multiple patients, I can analyze the relationship between the "ASP_S_n" feature and the target variable by examining the distribution of "ASP_S_n" values for each class of the target variable.

Here is an example of how the dictionary could be generated:

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

Please note that this is just a hypothetical example. The actual values in the dictionary will depend on the analysis of the dataset.