Retrieval and Clustering of Medicines Within Healthcare Data Records

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Title: Retrieval and Clustering of Medicines Within Healthcare Data Records
Authors: Wallace, Duncan
Kechadi, Tahar
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Date: 11-Nov-2016
Abstract: Electronic Health Records (EHRs) are typically designed to electronically document all information that is administratively and clinically relevant in a patient's use of a healthcare facility. This paper intends to improve discoverability of medications which may exist within the narrative-based free-text notes of patients' health care data records. This led us to introduce a context sensitive approach to retrieve candidate pharmaceuticals. Additionally, a combination of contraction promotion and clustering based upon edit distance will be utilised to increase the precision of this process.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2016 ACM
Keywords: Natural language processingInformation retrievalMedical informaticsClustering
DOI: 10.1145/3010089.3010101
Language: en
Status of Item: Peer reviewed
Is part of: BDAW '16: Proceedings of the International Conference on Big Data and Advanced Wireless Technologies
Conference Details: International Conference on Big Data and Advanced Wireless technologies (BDAW 2016), Blagoevgrad, Bulgaria, 10-11 November 2016
ISBN: 978-1-4503-4779-2
Appears in Collections:Computer Science Research Collection

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