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Linked Open Data for Healthcare Professionals

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Jaroslav PokornýAuthors Info & Claims

IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

Pages 400 - 409

https://doi.org/10.1145/2539150.2539195

Published: 02 December 2013 Publication History

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Abstract

Physicians are overwhelmed with many different drugs and the need to know a lot of information about all of them. That is, however, almost impossible in the fast evolving area of pharmaceutical industry. Although many data sources about drugs are published on the Web, structured or unstructured, it is very time consuming to search through them. In this paper we identify these data sources according to information needs of physicians. We show that they can be relatively easily integrated using the Linked Data principles and, in case of unstructured data, NLP methods. An application on the top of the integrated data sets is presented as a possible tool for clinical decision support.

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Freitas RBraga OAndrade OMendes MOliveira MBarreto Ide Castro APinto JChagas do Nascimento RFelici-Castell SSamper Zapater J(2020)An architecture's propose based on linked data and IoT to improve the health serviceProceedings of the 10th Euro-American Conference on Telematics and Information Systems10.1145/3401895.3402093(1-5)Online publication date: 25-Nov-2020
https://dl.acm.org/doi/10.1145/3401895.3402093
Dhayne HHaque RKilany RTaher Y(2019)In Search of Big Medical Data Integration Solutions - A Comprehensive SurveyIEEE Access10.1109/ACCESS.2019.29274917(91265-91290)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2927491
Adnan KAkbar RKhor SAli A(2019)Role and Challenges of Unstructured Big Data in HealthcareData Management, Analytics and Innovation10.1007/978-981-32-9949-8_22(301-323)Online publication date: 25-Oct-2019
https://doi.org/10.1007/978-981-32-9949-8_22
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Index Terms

Linked Open Data for Healthcare Professionals
1. Applied computing
  1. Life and medical sciences
2. Information systems
  1. Information systems applications

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IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

December 2013

753 pages

ISBN:9781450321136

DOI:10.1145/2539150

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 December 2013

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IIWAS '13: The 15th International Conference on Information Integration and Web-based Applications & Services

December 2 - 4, 2013

Vienna, Austria

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Freitas RBraga OAndrade OMendes MOliveira MBarreto Ide Castro APinto JChagas do Nascimento RFelici-Castell SSamper Zapater J(2020)An architecture's propose based on linked data and IoT to improve the health serviceProceedings of the 10th Euro-American Conference on Telematics and Information Systems10.1145/3401895.3402093(1-5)Online publication date: 25-Nov-2020
https://dl.acm.org/doi/10.1145/3401895.3402093
Dhayne HHaque RKilany RTaher Y(2019)In Search of Big Medical Data Integration Solutions - A Comprehensive SurveyIEEE Access10.1109/ACCESS.2019.29274917(91265-91290)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2927491
Adnan KAkbar RKhor SAli A(2019)Role and Challenges of Unstructured Big Data in HealthcareData Management, Analytics and Innovation10.1007/978-981-32-9949-8_22(301-323)Online publication date: 25-Oct-2019
https://doi.org/10.1007/978-981-32-9949-8_22
Flores-Flores CSánchez-Cervantes JRodríguez-Mazahua LColombo-Mendoza LRodríguez-González A(2019)ARLOD: Augmented Reality Mobile Application Integrating Information Obtained from the Linked Open Drug DataCurrent Trends in Semantic Web Technologies: Theory and Practice10.1007/978-3-030-06149-4_12(269-292)Online publication date: 18-Jan-2019
https://doi.org/10.1007/978-3-030-06149-4_12
Aslam MAljohani N(2018)SPediaInformation Retrieval and Management10.4018/978-1-5225-5191-1.ch071(1576-1596)Online publication date: 2018
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Grandi FMandreoli FMartoglia R(2017)Multi-Version Ontology-Based Personalization of Clinical Guidelines for Patient-Centric HealthcareInternational Journal on Semantic Web and Information Systems10.4018/IJSWIS.201701010713:1(104-127)Online publication date: 1-Jan-2017
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Hamon TGrabar NMougin FUnger CNgonga Ngomo ACimiano PAuer SPaliouras G(2017)Querying biomedical Linked Data with natural language questionsSemantic Web10.3233/SW-1602448:4(581-599)Online publication date: 1-Jan-2017
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Ji XChun SCappellari PGeller J(2017)Linking and using social media data for enhancing public health analyticsJournal of Information Science10.1177/016555151562502943:2(221-245)Online publication date: 1-Apr-2017
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Flores-Flores CSánchez-Cervantes JAlor-Hernández GRodríguez-Mazahua LReyes-Hernández L(2017)Architecture for the integration of Linked Open Drug Data in an Augmented Reality application for mobile devicesTrends and Applications in Software Engineering10.1007/978-3-319-69341-5_15(161-173)Online publication date: 12-Oct-2017
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Social health data integration using semantic Web

Applying linked data principles to represent patient's electronic health records at Mayo clinic: a case report

Linked Open Data Search Engine

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