Based on prior knowledge, we can analyze the relationship between the feature O_L_POST and the presence of chronic heart failure. 

If the patient has pulmonary edema at the time of admission to the intensive care unit (O_L_POST = 'yes'), it indicates a higher likelihood of chronic heart failure. On the other hand, if the patient does not have pulmonary edema (O_L_POST = 'no'), it suggests a lower likelihood of chronic heart failure.

Based on this analysis, we can create the dictionary as follows:

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

In this case, since the feature O_L_POST is a binary categorical variable, it only takes two possible values ('no' and 'yes'). For the target class "no" (indicating no chronic heart failure), the value of O_L_POST is "no". For the target class "yes" (indicating presence of chronic heart failure), the value of O_L_POST is "yes".