Based on prior knowledge, we know that sex/gender can potentially be a factor in the development of chronic heart failure. However, it is important to note that gender alone is unlikely to be the sole determinant of chronic heart failure. Other risk factors such as age, genetics, lifestyle, and previous medical conditions also play a significant role.

To analyze the relationship between sex/gender (feature) and chronic heart failure (target), we need to examine the distribution of gender within each target class. Here is the analysis:

For patients without chronic heart failure:
- Male
- Female

For patients with chronic heart failure:
- Male
- Female

Now, based on this analysis, we can create the dictionary:

```json
{
	"no": ["male", "female"],
	"yes": ["male", "female"]
}
```

Please note that the values in the lists may vary depending on the data, but this analysis assumes that both genders can be present in both the "no" and "yes" target classes.