Based on my prior knowledge, the occurrence of pulmonary edema at the time of admission to the intensive care unit (feature O_L_POST) can be related to chronic heart failure (target variable). Pulmonary edema is a common complication of chronic heart failure, where excess fluid builds up in the lungs due to the heart's inability to pump effectively.

To analyze the relationship between O_L_POST and chronic heart failure, we can examine the distribution of O_L_POST values for patients with and without chronic heart failure. Once we have this information, we can create a dictionary with the specified format.

Let's assume we have a dataset with the following information:
- O_L_POST = 'no' for patients without chronic heart failure and no pulmonary edema at admission.
- O_L_POST = 'yes' for patients with chronic heart failure and pulmonary edema at admission.

Based on this assumption, we can create the dictionary:

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

In this case, patients without chronic heart failure (no) have an O_L_POST value of 'no' (indicating no pulmonary edema at admission), while patients with chronic heart failure (yes) have an O_L_POST value of 'yes' (indicating the presence of pulmonary edema at admission).

Please note that this analysis is based on general knowledge and assumptions. The actual relationship between O_L_POST and chronic heart failure should be confirmed by analyzing real-world data specific to the dataset in question.