GUDM: Automatic Generation of Unified Datasets for Learning and Reasoning in Healthcare
A wide array of biomedical data are generated and made available to healthcare experts. However, due to the diverse nature of data, it is difficult to predict outcomes from it. It is therefore necessary to combine these diverse data sources into a single unified dataset. This paper proposes a global...
Main Authors: | Rahman Ali, Muhammad Hameed Siddiqi, Muhammad Idris, Taqdir Ali, Shujaat Hussain, Eui-Nam Huh, Byeong Ho Kang, Sungyoung Lee |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-07-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/15/7/15772 |
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