Using Spacy to extract pharmaceutical active ingredients from madical notes

[movilla1976]

• Operating System: Centos 7
• Python Version Used: 2.75
• spaCy Version Used: 2.0
• Environment Information:

I'm starting with Spacy and natural language processing. By the moment I need a very easy task but, to be honest, it is taking too much time. This is the thing:

• I have a list of ~3000 pharmaceutical active ingredients.
• I have a lot of clinical notes from several hospitals.
• I must build a report of the pharmaceutical active ingredients included in the clinical notes.

At the moment, I'm trying to create a new entity "Pharmaceutical Active Ingredient" and train Spacy to learn all of them. But I'm not sure if this is the right way, as what I need to detect is the exact name of the pharmaceutical active ingredients, and maybe the right way could be a match process.

On the other hand, I can't figure out how to load these 3000 pharmaceutical active ingredients to train Spacy to recognise them.

I would really appreciate your help in this issue.

Thanks a lot and best regards,

Javier Movilla
[email protected]

[honnibal]

I think you want the Matcher or PhraseMatcher classes. See here: https://spacy.io/usage/linguistic-features#section-rule-based-matching