Based on the given feature and task, we need to analyze the relationship between the "lat_im" feature and the presence of chronic heart failure in the patient.

To analyze this relationship, we can look at the different categories of the "lat_im" feature and see if there is any pattern or association with the presence of chronic heart failure.

From the given feature description, the categories of the "lat_im" feature are as follows:
1. "QRS has no changes"
2. "there is no infarct in this location"
3. "QRS is like Qr-complex"
4. "QRS is like QS-complex"
5. "QRS is like QR-complex"

To determine the relationship between these categories and the presence of chronic heart failure, we would need to analyze a dataset that includes the "lat_im" feature values along with information about the presence or absence of chronic heart failure for different patients.

Unfortunately, the provided information does not include any dataset or specific details about the relationship between the "lat_im" feature and chronic heart failure. Therefore, it is not possible to conduct a thorough analysis and provide a complete dictionary.

However, based on the given feature description, we can still create a partial dictionary with the format requested:

```json
{
	"no": ["QRS has no changes", "there is no infarct in this location"],
	"yes": ["QRS is like Qr-complex", "QRS is like QS-complex", "QRS is like QR-complex"]
}
```

Please note that this partial dictionary includes only the feature categories mentioned in the description, which are somewhat predictable for the given task. Other possible values of the "lat_im" feature that are not mentioned in the description but present in the dataset should be included in the dictionary for a complete analysis.