Towards in silico prognosis using big data

Towards in silico prognosis using big data

Clinical diagnosis and prognosis usually rely on few or even single measurements despite clinical big data being available. This limits the exploration of complex diseases such as adolescent idiopathic scoliosis (AIS) where the associated low bone mass remains unexplained. Observed low physical acti...

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Bibliographic Details
Main Authors: Ohs Nicholas, Keller Fabian, Blank Ole, Lee Yuk-Wai Wayne, Cheng Chun-Yiu Jack, Arbenz Peter, Müller Ralph, Christen Patrik
Format: Article
Language:English
Published: De Gruyter 2016-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
adolescent idiopathic scoliosis
boolean network
cellular automaton
clinical big data
micro-finite element analysis
Online Access:https://doi.org/10.1515/cdbme-2016-0016

Internet

https://doi.org/10.1515/cdbme-2016-0016

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