Based on my prior knowledge, I would analyze the relationship between the feature "LID_S_n" and the occurrence of chronic heart failure in myocardial infarction complications data.

Since "LID_S_n" represents the use of lidocaine in the ICU, it is possible that this feature is related to the occurrence of chronic heart failure. Lidocaine is commonly used in the ICU to treat or prevent arrhythmias, which could be a complication of myocardial infarction. Therefore, it is worth investigating whether the use of lidocaine in the ICU is associated with chronic heart failure.

To create the dictionary, I will analyze the relationship between "LID_S_n" and chronic heart failure based on the available data. I will split the data into two classes: "yes" representing the presence of chronic heart failure and "no" representing the absence of chronic heart failure. I will then identify the values of "LID_S_n" that are associated with each class.

Here is the generated dictionary:

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

Please note that the values "yes" and "no" are included for both the "no" and "yes" classes to indicate that the feature takes both possible values in each class.