Based on prior knowledge, beta-blockers are commonly prescribed to patients with chronic heart failure. Therefore, there might be a relationship between the use of beta-blockers (feature B_BLOK_S_n) and the presence of chronic heart failure (target variable).

To analyze the relationship between the feature and target, we need to examine the distribution of B_BLOK_S_n values for each target class (yes and no).

Here is the analysis:

For the target class "no":

- Possible values of feature B_BLOK_S_n: ['no', 'yes']

For the target class "yes":

- Possible values of feature B_BLOK_S_n: ['no', 'yes']

Based on this analysis, we can generate the following dictionary:

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

Please note that the dictionary includes all possible values of feature B_BLOK_S_n for each target class.