Based on prior knowledge, the TIME_B_S feature represents the time elapsed from the beginning of the myocardial infarction (MI) attack to the hospital. In the context of chronic heart failure (CHF), it is reasonable to assume that patients who experience a longer time interval between the onset of MI symptoms and hospital arrival may be more likely to develop CHF complications.

To create the dictionary, we need to analyze the relationship between the TIME_B_S feature and the presence of CHF complications in the myocardial infarction patient data.

However, it is important to note that without access to the actual data or a specific dataset, we cannot perform a thorough analysis or generate accurate statistics. The following analysis is based on generalized assumptions and prior knowledge of MI and CHF.

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

In this case, patients who arrived at the hospital within 2-4 hours or less than 2 hours would be less likely to show chronic heart failure complications. On the other hand, patients who arrived at the hospital more than 1 day, 2 days, or 3 days after the beginning of the MI attack could potentially show chronic heart failure.

Please note that this analysis is based on general assumptions and may not accurately represent the relationship between TIME_B_S and chronic heart failure complications. An actual analysis should be performed on relevant and specific data.