Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service
Abstract
Comprehend Medical is a stateless and Health Insurance Portability and Accountability Act (HIPAA) eligible Named Entity Recognition (NER) and Relationship Extraction (RE) service launched under Amazon Web Services (AWS) trained using state-of-the-art deep learning models. Contrary to many existing open source tools, Comprehend Medical is scalable and does not require steep learning curve, dependencies, pipeline configurations, or installations. Currently, Comprehend Medical performs NER in five medical categories: Anatomy, Medical Condition, Medications, Protected Health Information (PHI) and Treatment, Test and Procedure (TTP). Additionally, the service provides relationship extraction for the detected entities as well as contextual information such as negation and temporality in the form of traits. Comprehend Medical provides two Application Programming Interfaces (API): 1) the NERe API which returns all the extracted named entities, their traits and the relationships between them and 2) the PHId API which returns just the protected health information contained in the text. Furthermore, Comprehend Medical is accessible through AWS Console, Java and Python Software Development Kit (SDK), making it easier for non-developers and developers to use.
Cite
@article{arxiv.1910.07419,
title = {Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service},
author = {Parminder Bhatia and Busra Celikkaya and Mohammed Khalilia and Selvan Senthivel},
journal= {arXiv preprint arXiv:1910.07419},
year = {2019}
}
Comments
ICMLA 2019. $\copyright$ 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses in any current or future media including reprinting/republishing this material for advertising, promotional purposes, creating new collective works, for resale or redistribution to servers or lists, reuse of any copyrighted component of this work in other works. arXiv admin note: text overlap with arXiv:1812.05270