I have been searching for 2 weeks and I got no where so far.
There is a list of diseases
Diabetes Heart Transplant Fingertip amputation Injury by sharp tools . . .
and My dataset is a list of medical text reports.
the training dataset has diseases that can be generated from each record
example that I made
This patient has suffered a cut while using his Carving Chisel and led to losing the fingertip therefore we had to operate to sew the tip.....
from this report we get these diseases
1- Injury by sharp tools 2- Fingertip amputation 3- Sewing injury
another report results may have 3 or less or more diseases
I have searched a lot I found many examples about NLP classification
where a text will be classified into Sports, Politics, Culture, Science, etc.
I found NER where person names, locations, dates, etc can be extracted from a text.
But did not find anything for a single text could have multiple values (similar to my dataset)
I dont know where to start.
Could anyone please help me finding what is the name of this method of extracting list of issues from a text?
What else do I need to exclude the negations, if the report says
"This patient has stomach problem but not diabetes "
How can I make AI understand there is a negation (NOT) before diabetes so it should not be included?
So the result will be
as diabetes should be excluded because of the negation word