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
|Permanent link:||http://hdl.handle.net/10197/9472||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 processing; Information retrieval; Medical informatics; Clustering||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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