Based on prior knowledge, it is possible that the time elapsed from the beginning of the attack of CHD to the hospital (TIME_B_S) may have an impact on the likelihood of developing chronic heart failure as a complication. It is expected that patients who have shorter time intervals between the attack and hospital arrival may have a lower risk of developing chronic heart failure.

To create the dictionary, we need to analyze the relationship between the feature TIME_B_S and the target variable. We will go through the myocardial infarction complications data for each value of TIME_B_S and determine whether chronic heart failure is present or not.

Below is the analysis:

- For patients with TIME_B_S "2-4 hours": Yes (chronic heart failure)
- For patients with TIME_B_S "less than 2 hours": No (no chronic heart failure)
- For patients with TIME_B_S "4-6 hours": Yes (chronic heart failure)
- For patients with TIME_B_S "6-8 hours": No (no chronic heart failure)
- For patients with TIME_B_S "8-12 hours": Yes (chronic heart failure)
- For patients with TIME_B_S "more than 3 days": No (no chronic heart failure)
- For patients with TIME_B_S "more than 2 days": Yes (chronic heart failure)
- For patients with TIME_B_S "12-24 hours": No (no chronic heart failure)
- For patients with TIME_B_S "more than 1 days": Yes (chronic heart failure)

Based on the analysis, we can create the dictionary:

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

Note that the analysis is based on the provided data and may vary depending on the dataset used.