eprintid: 10050911
rev_number: 18
eprint_status: archive
userid: 608
dir: disk0/10/05/09/11
datestamp: 2018-06-25 15:16:18
lastmod: 2021-11-23 00:59:29
status_changed: 2018-06-25 15:16:18
type: article
metadata_visibility: show
creators_name: Akbari, M
creators_name: Hu, X
creators_name: Nie, L
creators_name: Chua, T-S
title: Towards organizing health knowledge on community-based health services
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
keywords: Community question-answering, Consumer health information, Information organization, Information retrieval
note: This work is licensed under a Creative Commons Attribution 4.0 International License. The images
or other third party material in this article are included in the article’s Creative Commons license,
unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license,
users will need to obtain permission from the license holder to reproduce the material. To view a copy of this
license, visit http://creativecommons.org/licenses/by/4.0/
abstract: Online community-based health services accumulate a huge amount of unstructured health question answering (QA) records at a continuously increasing pace. The ability to organize these health QA records has been found to be effective for data access. The existing approaches for organizing information are often not applicable to health domain due to its domain nature as characterized by complex relation among entities, large vocabulary gap, and heterogeneity of users. To tackle these challenges, we propose a top-down organization scheme, which can automatically assign the unstructured health-related records into a hierarchy with prior domain knowledge. Besides automatic hierarchy prototype generation, it also enables each data instance to be associated with multiple leaf nodes and profiles each node with terminologies. Based on this scheme, we design a hierarchy-based health information retrieval system. Experiments on a real-world dataset demonstrate the effectiveness of our scheme in organizing health QA into a topic hierarchy and retrieving health QA records from the topic hierarchy.
date: 2016-11-17
date_type: published
official_url: https://doi.org/10.1186/s13637-016-0053-x
oa_status: green
full_text_type: pub
pmcid: PMC5114333
language: eng
primo: open
primo_central: open_green
article_type_text: Journal Article
verified: verified_manual
elements_id: 1561717
doi: 10.1186/s13637-016-0053-x
pii: 53
lyricists_name: Akbari, Mohammad
lyricists_id: MAKBA16
actors_name: Cuccu, Clara
actors_id: CCCUC40
actors_role: owner
full_text_status: public
publication: EURASIP Journal on Bioinformatics and Systems Biology
volume: 2016
article_number: 18
event_location: Germany
issn: 1687-4145
citation:        Akbari, M;    Hu, X;    Nie, L;    Chua, T-S;      (2016)    Towards organizing health knowledge on community-based health services.                   EURASIP Journal on Bioinformatics and Systems Biology , 2016     , Article 18.  10.1186/s13637-016-0053-x <https://doi.org/10.1186/s13637-016-0053-x>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10050911/1/Akbari_Towards.pdf