Please use this identifier to cite or link to this item: https://doi.org/10.1109/HEALTH.2011.6026738
Title: Is the inter-patient coincidence of a subclinical disorder related to EHR similarity?
Authors: Chan, L.W.C.
Benzie, I.F.F.
Liu, Y. 
Shyu, C.R.
Keywords: clinical decision support
Electronic Health Record
similarity
SNOMED
Issue Date: 2011
Source: Chan, L.W.C.,Benzie, I.F.F.,Liu, Y.,Shyu, C.R. (2011). Is the inter-patient coincidence of a subclinical disorder related to EHR similarity?. 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011 : 177-180. ScholarBank@NUS Repository. https://doi.org/10.1109/HEALTH.2011.6026738
Abstract: Electronic Health Record (EHR) provide clinical evidence for identifying subclinical diseases and supporting decisions on early intervention. Simple string matching cannot link up the conceptually similar but verbally different clinical terms in patient records, limiting the usefulness of EHR. A novel ontological similarity matching approach supported by the Systematized Nomenclature of Medicine Clinical Terms (SNOMED-CT) is proposed in this paper. The disease terms of a patient record are transformed into a vector space so that each patient record can be characterized by a feature vector. The similarity between the new record and an existing database record was quantified by a kernel function of their feature vectors. The matches are ranked by their similarity scores. To evaluate the proposed matching approach, medical history and carotid ultrasonic imaging finding were collected from 47 subjects in Hong Kong. The dataset formed 1081 pairs of patient records and the ROC analysis was used to evaluate and compare the accuracy of the ontological similarity matching and the simple string matching against the presence or absence of carotid plaques identified in ultrasound examination. It was found that the simple string matching randomly rated the record pairs but the ontological similarity matching provided non-random rating. © 2011 IEEE.
Source Title: 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/73564
ISBN: 9781612846972
DOI: 10.1109/HEALTH.2011.6026738
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

3
checked on Dec 5, 2017

Page view(s)

21
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.