Based on prior knowledge, the time elapsed from the beginning of the attack of CHD to the hospital (TIME_B_S) can potentially have an impact on the development of chronic heart failure in myocardial infarction patients. 

To analyze the relationship between the TIME_B_S feature and the presence of chronic heart failure (target variable), we need to examine the distribution of TIME_B_S values for each target class (yes and no).

Let's analyze the data and create the dictionary:

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

Note: The values that are hard to predict are not included in the dictionary.