Based on the feature description and the task, we can analyze the relationship between the feature STENOK_AN and the presence of chronic heart failure. 

Since STENOK_AN represents the presence of exertional angina pectoris in the patient's medical history, it is likely related to the risk of chronic heart failure. Angina pectoris is a symptom of coronary artery disease, which can lead to myocardial infarction and ultimately result in chronic heart failure. Therefore, it is possible that patients who have experienced exertional angina pectoris in the past may be more prone to develop chronic heart failure.

To generate the dictionary, we need to first analyze the relationship between STENOK_AN and the presence of chronic heart failure (Yes/No) based on available data. This analysis will require a dataset that contains information about patients' medical history (including STENOK_AN) as well as the presence or absence of chronic heart failure.

Once we have the dataset, we can examine the distribution of STENOK_AN values for patients with and without chronic heart failure. This analysis will allow us to determine the possible values of STENOK_AN for each target class (Yes and No).

After analyzing the data, we can create the dictionary as follows:

```json
{
	"no": ["never", "during the last year", "more than 5 years ago", "4-5 years ago"],  
	"yes": ["never", "during the last year", "one year ago"]
}
```

Please note that this dictionary is just an example based on the hypothetical values given for each category of STENOK_AN. The actual values may vary depending on the analysis of the dataset.

Let me know if you need further assistance!