Based on the feature description, we can analyze the relationship between the feature "O_L_POST" and the target variable (chronic heart failure).

To determine if myocardial infarction complications data of a patient show chronic heart failure, we need to consider whether the patient had pulmonary edema at the time of admission to the intensive care unit (ICU).

Let's analyze the relationship between the feature "O_L_POST" and the target variable "chronic heart failure":

1. Category: "no" - This indicates that the patient did not have pulmonary edema at the time of admission to the ICU. It is possible that patients without pulmonary edema may or may not have chronic heart failure. To confirm this, we would need additional information about the patients' clinical history and test results relating to heart failure.

2. Category: "yes" - This indicates that the patient had pulmonary edema at the time of admission to the ICU. Pulmonary edema is a common complication of heart failure, and its presence suggests a higher likelihood of chronic heart failure in this patient. However, further investigation and diagnostic tests would be needed to confirm the diagnosis.

Based on the analysis, the dictionary with the relationship between the feature "O_L_POST" and the target variable "chronic heart failure" can be generated as follows:

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

Please note that since the "O_L_POST" feature only has two categories ('no' and 'yes'), the respective lists in the dictionary would only contain a single string value.