Based on my prior knowledge, the feature ASP_S_n represents the use of acetylsalicylic acid in the ICU. In the context of myocardial infarction complications, acetylsalicylic acid (also known as aspirin) is commonly prescribed to prevent platelet aggregation and reduce the risk of further heart attacks or stroke.

To determine the relationship between the feature and the presence of chronic heart failure, we need to analyze the distribution of ASP_S_n values for each target class.

Here is a possible analysis:

For the target class "no" (no chronic heart failure), the following values of ASP_S_n may be observed:
- 'yes': This indicates that acetylsalicylic acid was used in the ICU, which suggests that the patient might not have chronic heart failure.
- 'no': This indicates that acetylsalicylic acid was not used in the ICU, which could imply chronic heart failure. However, it's important to note that the absence of acetylsalicylic acid use does not definitively confirm the presence of chronic heart failure.

For the target class "yes" (chronic heart failure), the following values of ASP_S_n may be observed:
- 'yes': This indicates that acetylsalicylic acid was indeed used in the ICU, but it doesn't exclude the possibility of chronic heart failure. Some patients with chronic heart failure may still be prescribed acetylsalicylic acid for its other beneficial effects.
- 'no': This indicates that acetylsalicylic acid was not used in the ICU. While it's not a definitive indication of chronic heart failure, the absence of acetylsalicylic acid use might suggest that other factors are at play and chronic heart failure could be present.

Based on this analysis, we can create the dictionary with the relevant details:

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

Please note that this analysis assumes a simplified relationship between the feature and the task. Further information and analysis, considering other features and potential confounding variables, would be necessary for a more accurate prediction of chronic heart failure.