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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

A System for Medical Information Extraction and Verification from Unstructured Text

February 1, 2023

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Authors

Damir Juric

Babylon Health


Giorgos Stoilos

Huawei Technologies


Andre Melo

Huawei Technologies


Jonathan Moore

Babylon Health


Mohammad Khodadadi

Babylon Health


DOI:

10.1609/aaai.v34i08.7042


Abstract:

A wealth of medical knowledge has been encoded in terminologies like SNOMED CT, NCI, FMA, and more. However, these resources are usually lacking information like relations between diseases, symptoms, and risk factors preventing their use in diagnostic or other decision making applications. In this paper we present a pipeline for extracting such information from unstructured text and enriching medical knowledge bases. Our approach uses Semantic Role Labelling and is unsupervised. We show how we dealt with several deficiencies of SRL-based extraction, like copula verbs, relations expressed through nouns, and assigning scores to extracted triples. The system have so far extracted about 120K relations and in-house doctors verified about 5k relationships. We compared the output of the system with a manually constructed network of diseases, symptoms and risk factors build by doctors in the course of a year. Our results show that our pipeline extracts good quality and precise relations and speeds up the knowledge acquisition process considerably.

Topics: AAAI

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HOW TO CITE:

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi A System for Medical Information Extraction and Verification from Unstructured Text Proceedings of the AAAI Conference on Artificial Intelligence (2020) 13314-13319.

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi A System for Medical Information Extraction and Verification from Unstructured Text AAAI 2020, 13314-13319.

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi (2020). A System for Medical Information Extraction and Verification from Unstructured Text. Proceedings of the AAAI Conference on Artificial Intelligence, 13314-13319.

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi. A System for Medical Information Extraction and Verification from Unstructured Text. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.13314-13319.

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi. 2020. A System for Medical Information Extraction and Verification from Unstructured Text. "Proceedings of the AAAI Conference on Artificial Intelligence". 13314-13319.

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi. (2020) "A System for Medical Information Extraction and Verification from Unstructured Text", Proceedings of the AAAI Conference on Artificial Intelligence, p.13314-13319

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi, "A System for Medical Information Extraction and Verification from Unstructured Text", AAAI, p.13314-13319, 2020.

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi. "A System for Medical Information Extraction and Verification from Unstructured Text". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.13314-13319.

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi. "A System for Medical Information Extraction and Verification from Unstructured Text". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 13314-13319.

Damir Juric||Giorgos Stoilos||Andre Melo||Jonathan Moore||Mohammad Khodadadi. A System for Medical Information Extraction and Verification from Unstructured Text. AAAI[Internet]. 2020[cited 2023]; 13314-13319.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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