GUDM: Automatic Generation of Unified Datasets for Learning and Reasoning in Healthcare

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...

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Bibliographic Details
Main Authors: Rahman Ali, Muhammad Hameed Siddiqi, Muhammad Idris, Taqdir Ali, Shujaat Hussain, Eui-Nam Huh, Byeong Ho Kang, Sungyoung Lee
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Sensors
Subjects:
unified dataset
data fusion
data model
rough set theory
knowledge acquisition
reasoning
clinical trials
social media
sensors
Online Access:http://www.mdpi.com/1424-8220/15/7/15772

Internet

http://www.mdpi.com/1424-8220/15/7/15772

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