A MapReduce-based Adjoint method for preventing brain disease

A MapReduce-based Adjoint method for preventing brain disease

Abstract In this paper, we present a statistical model performed on the basis of a patient dataset. This model predicts efficiently the brain disease risk. Multiple regression was used to build the statistical model. The least squares estimation problem usually used to estimate the parameters of reg...

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Bibliographic Details
Main Authors: Manal Zettam, Jalal Laassiri, Nourddine Enneya
Format: Article
Language:English
Published: SpringerOpen 2018-08-01
Series:Journal of Big Data
Subjects:
Brain disease
Adjoint method
Multiple regression
MapReduce
Online Access:http://link.springer.com/article/10.1186/s40537-018-0136-5

Internet

http://link.springer.com/article/10.1186/s40537-018-0136-5

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