Since the feature description includes a specific numeric variable and no clarification on the relationship between the feature and the target variable, we can assume that higher or lower values of L_BLOOD may indicate chronic heart failure. 

To analyze the relationship between the feature L_BLOOD and the presence of chronic heart failure, we would ideally analyze a dataset that includes L_BLOOD values for patients with and without chronic heart failure. Without access to the specific dataset, we can only provide analysis based on general knowledge.

Assuming higher values of L_BLOOD may indicate chronic heart failure, we can expect to find higher L_BLOOD values for patients labeled as "yes" for chronic heart failure, compared to patients labeled as "no".

However, it is important to note that without domain-specific knowledge or a dataset containing the required information, it is challenging to provide precise information about the relationship between L_BLOOD and chronic heart failure.

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

```json
{
	"no": [5.0, 4.7, 4.5, 4.3, 4.2],
	"yes": [6.0, 6.5, 7.2, 7.8, 8.1]
}
```

Please note that the values provided are hypothetical and do not represent actual data. Actual values should be obtained from a dataset or domain expert.