Based on the given feature "O_L_POST" which represents the presence or absence of pulmonary edema at the time of admission to the intensive care unit, we can analyze its relationship with the occurrence of chronic heart failure in myocardial infarction complications.

To analyze this relationship, we need data that includes both the feature and the target variable. Unfortunately, the given information does not include any data examples or statistics. Without the actual data, we cannot determine the relationship between the feature and the occurrence of chronic heart failure accurately.

However, based on prior knowledge, it is known that pulmonary edema can be associated with heart failure. Therefore, it is possible that patients with pulmonary edema (O_L_POST = 'yes') may have a higher likelihood of showing chronic heart failure compared to patients without pulmonary edema (O_L_POST = 'no').

To generate the dictionary as requested, we will assume some possible values for O_L_POST in each target class:

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

Note: Without actual data or more specific information, it is challenging to provide an accurate analysis of the relationship between feature "O_L_POST" and the occurrence of chronic heart failure.