<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="nicula-etal-2019-building">
    <titleInfo>
        <title>Building a Comprehensive Romanian Knowledge Base for Drug Administration</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Bogdan</namePart>
        <namePart type="family">Nicula</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Mihai</namePart>
        <namePart type="family">Dascalu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Maria-Dorinela</namePart>
        <namePart type="family">Sîrbu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">\textcommabelowStefan</namePart>
        <namePart type="family">Trău\textcommabelowsan-Matu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Alexandru</namePart>
        <namePart type="family">Nu\textcommabelowtă</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>INCOMA Ltd.</publisher>
            <place>
                <placeTerm type="text">Varna, Bulgaria</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Information on drug administration is obtained traditionally from doctors and pharmacists, as well as leaflets which provide in most cases cumbersome and hard-to-follow details. Thus, the need for medical knowledge bases emerges to provide access to concrete and well-structured information which can play an important role in informing patients. This paper introduces a Romanian medical knowledge base focused on drug-drug interactions, on representing relevant drug information, and on symptom-disease relations. The knowledge base was created by extracting and transforming information using Natural Language Processing techniques from both structured and unstructured sources, together with manual annotations. The resulting Romanian ontologies are aligned with larger English medical ontologies. Our knowledge base supports queries regarding drugs (e.g., active ingredients, concentration, expiration date), drug-drug interaction, symptom-disease relations, as well as drug-symptom relations.</abstract>
    <identifier type="citekey">nicula-etal-2019-building</identifier>
    <identifier type="doi">10.26615/978-954-452-056-4_096</identifier>
    <location>
        <url>https://aclanthology.org/R19-1096</url>
    </location>
    <part>
        <date>2019-09</date>
        <extent unit="page">
            <start>829</start>
            <end>836</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Building a Comprehensive Romanian Knowledge Base for Drug Administration
%A Nicula, Bogdan
%A Dascalu, Mihai
%A Sîrbu, Maria-Dorinela
%A Trău\textcommabelowsan-Matu, \textcommabelowStefan
%A Nu\textcommabelowtă, Alexandru
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F nicula-etal-2019-building
%X Information on drug administration is obtained traditionally from doctors and pharmacists, as well as leaflets which provide in most cases cumbersome and hard-to-follow details. Thus, the need for medical knowledge bases emerges to provide access to concrete and well-structured information which can play an important role in informing patients. This paper introduces a Romanian medical knowledge base focused on drug-drug interactions, on representing relevant drug information, and on symptom-disease relations. The knowledge base was created by extracting and transforming information using Natural Language Processing techniques from both structured and unstructured sources, together with manual annotations. The resulting Romanian ontologies are aligned with larger English medical ontologies. Our knowledge base supports queries regarding drugs (e.g., active ingredients, concentration, expiration date), drug-drug interaction, symptom-disease relations, as well as drug-symptom relations.
%R 10.26615/978-954-452-056-4_096
%U https://aclanthology.org/R19-1096
%U https://doi.org/10.26615/978-954-452-056-4_096
%P 829-836

Markdown (Informal)

[Building a Comprehensive Romanian Knowledge Base for Drug Administration](https://aclanthology.org/R19-1096) (Nicula et al., RANLP 2019)

• Building a Comprehensive Romanian Knowledge Base for Drug Administration (Nicula et al., RANLP 2019)

ACL

• Bogdan Nicula, Mihai Dascalu, Maria-Dorinela Sîrbu, Ștefan Trăușan-Matu, and Alexandru Nuță. 2019. Building a Comprehensive Romanian Knowledge Base for Drug Administration. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 829–836, Varna, Bulgaria. INCOMA Ltd..