EliIE: An open-source information extraction system for clinical trial eligibility criteria | Zendy

Tian Kang | Zendy; Shaodian Zhang | Zendy; Youlan Tang | Zendy; Gregory W. Hruby | Zendy; Alexander Rusanov | Zendy; Noémie Elhadad | Zendy; Chunhua Weng | Zendy

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EliIE: An open-source information extraction system for clinical trial eligibility criteria

Author(s) -

Tian Kang,

Shaodian Zhang,

Youlan Tang,

Gregory W. Hruby,

Alexander Rusanov,

Noémie Elhadad,

Chunhua Weng

Publication year - 2017

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/ocx019

Subject(s) - computer science , relationship extraction , information extraction , artificial intelligence , negation , natural language processing , classifier (uml) , normalization (sociology) , named entity recognition , terminology , machine learning , data mining , information retrieval , task (project management) , linguistics , management , sociology , anthropology , economics , programming language , philosophy

To develop an open-source information extraction system called Eligibility Criteria Information Extraction (EliIE) for parsing and formalizing free-text clinical research eligibility criteria (EC) following Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) version 5.0.

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