Great text! I was lost trying to learn those fhir concepts by myself. Thank you!

Yes we do. I have observed this when I was modeling in python sklearn. So I decided to ignore those. Here querys comparing counts of register with nulls and without nulls:

7631 (including nulls)

7504 (excluding nulls)

SELECT count(id) FROM Community.Post order by id

Result

Namespace: PYTHON

Result #1

Aggregate_1
7631

1 row(s) affected

2020-07-20 01:48:27  Routine: %sqlcq.PYTHON.cls264

SELECT count(id) FROM Community.Post Where not text is null order by id

Result

Namespace: PYTHON

Result #1

Aggregate_1
7504

1 row(s) affected

In my application I just put all my dataset into a table to be used with integrated ML. The error that was talking about:

If I understand well. Yes there is some solutions with my ML Model. We can call my model to sugest the tags, and the author can change which I think is the more effective. Is this? To serve my model I can serve it in python or use the IntegratedML to the other one so just choose the best model and use.