To analyze the relationship between the feature "D_AD_ORIT" and the task of detecting chronic heart failure in myocardial infarction complications data, we can use our prior knowledge of diastolic blood pressure ranges associated with heart failure.

Chronic heart failure is often characterized by elevated diastolic blood pressure. Based on general medical knowledge, a normal diastolic blood pressure range is typically considered to be between 60 and 80 mmHg. Higher values can indicate hypertension or other heart-related issues.

Considering the task at hand, we can analyze the feature "D_AD_ORIT" in relation to chronic heart failure as follows:

1. If individuals with chronic heart failure are present in the dataset (target class "yes"), we would expect to see higher diastolic blood pressure values.

2. On the other hand, if individuals without chronic heart failure are present in the dataset (target class "no"), we would expect to see diastolic blood pressure values within the normal range or even lower.

Based on this analysis, we can create a dictionary with the specified format:

```json
{
	"no": [70.0, 73.0, 72.5, 68.0, 75.0],
	"yes": [90.0, 85.0, 88.5, 95.0, 92.0]
}
```

In this example, we have provided 5 typical diastolic blood pressure values for each target class. The values in the "no" list fall within the normal range, while the values in the "yes" list are higher, indicating a likelihood of chronic heart failure. Please note that these values are fictional and serve only as an example.

Keep in mind that this analysis assumes a simple relationship between diastolic blood pressure and the presence of chronic heart failure in myocardial infarction complications data. In real-world scenarios, multiple factors should be taken into account, and a comprehensive analysis using statistical techniques should be performed for accurate predictions.