loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Qing Hu 1 ; Zhisheng Huang 2 ; Annette ten Teije 2 ; Frank van Harmelen 2 ; M. Scott Marshall 3 and Andre Dekker 3

Affiliations: 1 VU University Amsterdam and Wuhan Univesity of Science and Technology, Netherlands ; 2 VU University Amsterdam, Netherlands ; 3 Maastricht University Medical Centre, Netherlands

Keyword(s): Evidence-based Medical Guidelines, Medical Guideline Update, Semantic Distance, Context-awareness, Topic-centric Approach.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Medical and Nursing Informatics ; Ontologies and the Semantic Web ; Society, e-Business and e-Government ; Web Information Systems and Technologies

Abstract: Evidence-based Medical guidelines are developed based on the best available evidence in biomedical science and clinical practice. Such evidence-based medical guidelines should be regularly updated, so that they can optimally serve medical practice by using the latest evidence from medical research. The usual approach to detect such new evidence is to use a set of terms from a guideline recommendation and to create queries for a biomedical search engine such as PubMed, with a ranking over a selected subset of terms to search for relevant new evidence. However, the terms that appear in a guideline recommendation do not always cover all of the information we need for the search, because the contextual information (e.g. time and location, user profile, topics) is usually missing in a guideline recommendation. Enhancing the search terms with contextual information would improve the quality of the search results. In this paper, we propose a topic-centric approach to detect new evidence for updating evidence-based medical guidelines as a context-aware method to improve the search. Our experiments show that this topic centric approach can find the goal evidence for 12 guideline statements out of 16 in our test set, compared with only 5 guideline statements that were found by using a non-topic centric approach. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.239.76.25

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Hu, Q.; Huang, Z.; Teije, A.; Harmelen, F.; Marshall, M. and Dekker, A. (2016). A Topic-centric Approach to Detecting New Evidences for Evidence-based Medical Guidelines. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 282-289. DOI: 10.5220/0005698902820289

@conference{healthinf16,
author={Qing Hu. and Zhisheng Huang. and Annette ten Teije. and Frank van Harmelen. and M. Scott Marshall. and Andre Dekker.},
title={A Topic-centric Approach to Detecting New Evidences for Evidence-based Medical Guidelines},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF},
year={2016},
pages={282-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005698902820289},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF
TI - A Topic-centric Approach to Detecting New Evidences for Evidence-based Medical Guidelines
SN - 978-989-758-170-0
IS - 2184-4305
AU - Hu, Q.
AU - Huang, Z.
AU - Teije, A.
AU - Harmelen, F.
AU - Marshall, M.
AU - Dekker, A.
PY - 2016
SP - 282
EP - 289
DO - 10.5220/0005698902820289
PB - SciTePress