Based on prior knowledge, we can analyze the relationship between the feature ANT_CA_S_n and the occurrence of chronic heart failure in myocardial infarction complications data.

To determine if there is a relationship, we can examine the distribution of the feature values for each target class (yes and no). Let's create a dictionary to showcase the possible values of ANT_CA_S_n for each target class.

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

In this case, the feature ANT_CA_S_n has only two possible values: "yes" and "no". Since we do not have further information about the relationship between these values and chronic heart failure, we cannot provide any additional values or evidence for this analysis.

Please note that this analysis is limited by the lack of information about the relationship between the feature and the target variable. The provided feature only has two values, and without additional context or knowledge, it is not possible to determine if it is a significant predictor of chronic heart failure.