Based on the feature description and the task, we want to analyze the relationship between the use of acetylsalicylic acid in the ICU (ASP_S_n) and the presence of chronic heart failure.

To analyze this relationship, we can look at the distribution of ASP_S_n values for patients with and without chronic heart failure. We can then create a dictionary with the possible values of ASP_S_n for each target class.

Here is the analysis and the resulting dictionary:

Analysis:
- For patients without chronic heart failure:
    - There is no specific information provided regarding the effect of ASP_S_n on the likelihood of chronic heart failure.
    - Therefore, the possible values of ASP_S_n for the target class "no" can be considered as ['yes', 'no'].

- For patients with chronic heart failure:
    - There is no specific information provided regarding the effect of ASP_S_n on the likelihood of chronic heart failure.
    - Therefore, the possible values of ASP_S_n for the target class "yes" can also be considered as ['yes', 'no'].

Based on the analysis above, we can generate the following dictionary:

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

Please note that the possible values for both target classes are the same, as there is no specific information provided regarding the relationship between ASP_S_n and chronic heart failure.