Based on the given feature description and task, we need to analyze whether the presence of paroxysms of supraventricular tachycardia (SVT_POST) at the time of admission to the intensive care unit (ICU) indicates the presence of chronic heart failure (CHF).

To conduct the analysis, we need to gather data that includes the feature SVT_POST as well as the target variable indicating the presence or absence of chronic heart failure for each patient. By examining the relationship between SVT_POST and the target variable, we can determine if there is a pattern or correlation.

Once we have the data, we can create a dictionary to summarize the analysis. The dictionary will have two keys, "no" and "yes", representing the target class for chronic heart failure.

Let's assume we have collected the necessary data and performed the analysis:

For the target class "no" (indicating no chronic heart failure), we found the following possible values for the feature SVT_POST:

- "no": [list of string values indicating SVT_POST when chronic heart failure is absent]

For the target class "yes" (indicating chronic heart failure), we found the following possible values for the feature SVT_POST:

- "yes": [list of string values indicating SVT_POST when chronic heart failure is present]

Based on the analysis, we can now create the dictionary:

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

Please note that the provided analysis is hypothetical, and the actual values for SVT_POST and their relationship to chronic heart failure should be determined using relevant data and statistical techniques.