Based on prior knowledge, we can analyze how the feature "ANT_CA_S_n" (Use of calcium channel blockers in the ICU) relates to the occurrence of chronic heart failure in myocardial infarction complications data.

Potential analysis:

1. If the patient has chronic heart failure (target class: yes), it is possible that calcium channel blockers (ANT_CA_S_n) were used in the ICU to treat or manage the condition. Therefore, we can expect to see some patients with the value "yes" for the feature ANT_CA_S_n in the target class "yes".

2. On the other hand, if the patient does not have chronic heart failure (target class: no), it is less likely that calcium channel blockers were used, as they are not typically indicated for primary treatment of myocardial infarction complications without heart failure. Thus, we may see a majority of patients with the value "no" for the feature ANT_CA_S_n in the target class "no".

Based on this analysis, the dictionary with the relevant values for the feature ANT_CA_S_n and the target classes "yes" and "no" can be created as follows:

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

This dictionary indicates that patients in the target class "no" (without chronic heart failure) have the value "no" for the feature ANT_CA_S_n, while patients in the target class "yes" (with chronic heart failure) have the value "yes" for the feature ANT_CA_S_n.

Please note that if there are other possible values for the feature ANT_CA_S_n, they should be included in the corresponding target class list. However, if there are no other relevant values or if they are difficult to predict, it is not necessary to include them in the dictionary.