Application of natural language processing techniques to identify off-label drug usage from various online health communities | Zendy

Brian Dreyfus | Zendy; Anuj Chaudhary | Zendy; Parth Bhardwaj | Zendy; V Karthikhaa Shree | Zendy

Open Access

Application of natural language processing techniques to identify off-label drug usage from various online health communities

Author(s) -

Brian Dreyfus,

Anuj Chaudhary,

Parth Bhardwaj,

V Karthikhaa Shree

Publication year - 2021

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocab124

Subject(s) - drug , spelling , recall , computer science , multi label classification , off label use , parsing , variety (cybernetics) , medicine , natural language processing , artificial intelligence , psychology , pharmacology , philosophy , linguistics , cognitive psychology

Outcomes mentioned on online health communities (OHCs) by patients can serve as a source of evidence for off-label drug usage evaluation, but identifying these outcomes manually is tedious work. We have built a natural language processing model to identify off-label usage of drugs mentioned in these patient posts.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research