Based on prior knowledge, there is no direct relationship between gender (SEX) and the occurrence of chronic heart failure. Gender alone is unlikely to be a significant predictor of chronic heart failure. However, it is still important to analyze the relationship between gender and the target variable to confirm this.

To conduct the analysis, we would need a dataset containing information on patients with myocardial infarction complications and their corresponding diagnosis of chronic heart failure. Without the dataset, we cannot perform a detailed analysis.

Since there is no predetermined relationship between gender and chronic heart failure, it is not necessary to include gender values in the dictionary. However, to create a dictionary with lists for each target class, we can assume arbitrary values for illustrative purposes.

Based on this assumption, the dictionary can be represented as follows:

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

Please note that this representation is a hypothetical example, as no concrete relationship has been established between gender and chronic heart failure. The values in the dictionary are included for illustrative purposes only.