Based on the feature description, the feature "lat_im" represents the presence of a lateral myocardial infarction. It is a categorical variable with five possible categories: 'QRS has no changes', 'there is no infarct in this location', 'QRS is like Qr-complex', 'QRS is like QS-complex', and 'QRS is like QR-complex'.

To determine if the myocardial infarction complications data of a patient shows chronic heart failure, we need to analyze the relationship between the feature "lat_im" and the target variable.

To create the required dictionary, we will examine the possible values of "lat_im" for each class of the target variable.

Based on the given task, here is the analysis and the dictionary:

```json
{
	"no": ["QRS has no changes", "there is no infarct in this location"],  
	"yes": ["QRS is like QS-complex", "QRS is like QR-complex"]  
}
```

In this analysis, the possible values of "lat_im" for the target class "no" are "QRS has no changes" and "there is no infarct in this location". For the target class "yes", the possible values of "lat_im" are "QRS is like QS-complex" and "QRS is like QR-complex".