Based on prior knowledge, we can analyze the relationship between the feature "TIME_B_S" and the target variable "chronic heart failure" (CHF) using the myocardial infarction complications data. However, it is important to note that this analysis can only provide a correlation and not a causation.

Now, let's analyze the relationship and create the dictionary:

For patients with chronic heart failure (CHF):
- Patients who have less than 2 hours or 2-4 hours elapsed time from the beginning of the attack of CHD to the hospital might be less likely to show chronic heart failure.
- Patients with time elapsed ranging from 4-6 hours, 6-8 hours, 8-12 hours, 12-24 hours, more than 1 day, more than 2 days, or more than 3 days might have a higher likelihood of showing chronic heart failure.

For patients without chronic heart failure (No CHF):
- Patients who have less than 2 hours, 2-4 hours, or 4-6 hours elapsed time from the beginning of the attack of CHD to the hospital might be less likely to show chronic heart failure.
- Patients with time elapsed ranging from 6-8 hours, 8-12 hours, 12-24 hours, more than 1 day, more than 2 days, or more than 3 days might have a lower likelihood of showing chronic heart failure.

Based on this analysis, let's create the dictionary:

```json
{
	"no": ["less than 2 hours", "2-4 hours", "4-6 hours"],
	"yes": ["6-8 hours", "8-12 hours", "12-24 hours", "more than 1 days", "more than 2 days", "more than 3 days"]
}
```

Please note that this analysis is based on general observations and may not hold true for every individual. It's always recommended to consult a medical professional for a definitive diagnosis.