ODMedit: uniform semantic annotation for data integration in medicine based on a public metadata repository

ODMedit: uniform semantic annotation for data integration in medicine based on a public metadata repository

Abstract Background The volume and complexity of patient data – especially in personalised medicine – is steadily increasing, both regarding clinical data and genomic profiles: Typically more than 1,000 items (e.g., laboratory values, vital signs, diagnostic tests etc.) are collected per patient in...

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Bibliographic Details
Main Authors: Martin Dugas, Alexandra Meidt, Philipp Neuhaus, Michael Storck, Julian Varghese
Format: Article
Language:English
Published: BMC 2016-06-01
Series:BMC Medical Research Methodology
Subjects:
Semantic annotation
Personalised medicine
Data integration
ODM
Online Access:http://link.springer.com/article/10.1186/s12874-016-0164-9

Internet

http://link.springer.com/article/10.1186/s12874-016-0164-9

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