Elsharkawy, Basma and Ahmed, Hatem and Salem, Rashed (2016) Semantic-based Approach for Solving the Heterogeneity of Clinical Data. IJCI. International Journal of Computers and Information, 5 (1). pp. 35-45. ISSN 1687-7853
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Abstract
Clinical records contain massive heterogeneity number of data types, generally written in free-note without a linguistic standard. Other forms of medical data include medical images with/without metadata (e.g., CT, MRI, radiology, etc.), audios (e.g., transcriptions, ultrasound), videos (e.g., surgery recording), and structured data (e.g., laboratory test
results, age, year, weight, billing, etc.). Consequently, to retrieve the knowledge from these data is not trivial task.
Handling the heterogeneity besides largeness and complexity of these data is a challenge. The main purpose of this paper
is proposing a framework with two-fold. Firstly, it achieves a semantic-based integration approach, which resolves the
heterogeneity issue during the integration process of healthcare data from various data sources. Secondly, it achieves a
semantic-based medical retrieval approach with enhanced precision. Our experimental study on medical datasets
demonstrates the significant accuracy and speedup of the proposed framework over existing approaches.
Item Type: | Article |
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Subjects: | Research Scholar Guardian > Computer Science |
Depositing User: | Unnamed user with email support@scholarguardian.com |
Date Deposited: | 17 Jul 2023 06:10 |
Last Modified: | 28 Sep 2023 09:02 |
URI: | http://science.sdpublishers.org/id/eprint/1385 |