BHARAT: An Integrated Big Data Analytic Model for Early Diagnostic Biomarker of Alzheimer's Disease

Frontiers in Neurology
Ankita SharmaPravat K Mandal

Abstract

Alzheimer's disease (AD) is a devastating neurodegenerative disorder affecting millions of people worldwide. Progressive and relentless efforts are being made for therapeutic development by way of advancing understanding of non-invasive imaging modalities for the causal molecular process of AD. We present a Hadoop-based big data framework integrating non-invasive magnetic resonance imaging (MRI), MR spectroscopy (MRS) as well as neuropsychological test outcomes to identify early diagnostic biomarkers of AD. This big data framework for AD incorporates the three "V"s (volume, variety, velocity) with advanced data mining, machine learning, and statistical modeling algorithms. A large volume of longitudinal information from non-invasive imaging modalities with colligated parametric variety and speed for both data acquisition and processing as velocity complete the fundamental requirements of this big data framework for early AD diagnosis. Brain structural, neurochemical, and behavioral features are extracted from MRI, MRS, and neuropsychological scores, respectively. Subsequently, feature selection and ensemble-based classification are proposed and their outputs are fused based on the combination rule for final accurate classificat...Continue Reading

References

May 1, 1982·Journal of Gerontology·R I PfefferS Filos
Jan 1, 1982·Journal of Psychiatric Research·J A YesavageV O Leirer
Dec 16, 1998·Lancet·P M DoraiswamyK R Krishnan
Feb 2, 2000·European Archives of Psychiatry and Clinical Neuroscience·E BraakH Braak
May 4, 2002·JAMA : the Journal of the American Medical Association·Jeffrey L Cummings, Greg Cole
Mar 23, 2007·Canadian Journal of Psychiatry. Revue Canadienne De Psychiatrie·David L Streiner, John Cairney
Feb 1, 2011·Methods in Molecular Biology·Jennifer L Whitwell, Prashanthi Vemuri
Feb 1, 2013·Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society·Stefano DiciottiNicola Toschi
Nov 25, 2014·National Science Review·Jianqing FanHan Liu
May 25, 2015·Biological Psychiatry·Pravat K MandalGeetanjali Murari
Nov 11, 2015·BMC Bioinformatics·Victor MocioiuMargarida Julià-Sapé
Jun 28, 2016·Behavioural Brain Research·Ali KhazaeeUNKNOWN Alzheimer’s Disease Neuroimaging Initiative
Mar 14, 2017·Journal of Neuroscience Methods·Seyed Hani HojjatiUNKNOWN Alzheimer’s Disease Neuroimaging Initiative
Apr 10, 2018·Journal of Alzheimer's Disease : JAD·Pravat K Mandal, Deepika Shukla

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Citations

May 1, 2021·Journal of Personalized Medicine·Andrea TermineRaffaella Cascella

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Methods Mentioned

BETA
imaging techniques
PCA
feature extraction

Software Mentioned

ML
PySpark toolbox
Oozieetc
NoSQL
Apache Zookeeper
Apache Spark
Hadoop Distributed File System HDFS
Spark
Hue
Hadoop common

Related Concepts

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