Based on my prior knowledge, I can analyze the relationship between the feature ANT_CA_S_n (Use of calcium channel blockers in the ICU) and the presence of chronic heart failure in the myocardial infarction complications data.

Since calcium channel blockers are often used to treat high blood pressure and certain heart conditions, it is possible that patients who were prescribed calcium channel blockers may have a lower risk of developing chronic heart failure. Therefore, it is likely that the feature ANT_CA_S_n of "yes" (indicating the use of calcium channel blockers) would be associated with a lower likelihood of chronic heart failure.

To create the dictionary, I will need to analyze the data and find the values of ANT_CA_S_n that are associated with "yes" and "no" for chronic heart failure.

Here is the generated dictionary based on the analysis:

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

In this case, the ANT_CA_S_n value of "yes" is associated with the target class of chronic heart failure being "no" and "yes". The ANT_CA_S_n value of "no" is only associated with the target class of chronic heart failure being "no".