Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease

Frontiers in Neuroinformatics
Diego Castillo-BarnesJ M Górriz

Abstract

In last years, several approaches to develop an effective Computer-Aided-Diagnosis (CAD) system for Parkinson's Disease (PD) have been proposed. Most of these methods have focused almost exclusively on brain images through the use of Machine-Learning algorithms suitable to characterize structural or functional patterns. Those patterns provide enough information about the status and/or the progression at intermediate and advanced stages of Parkinson's Disease. Nevertheless this information could be insufficient at early stages of the pathology. The Parkinson's Progression Markers Initiative (PPMI) database includes neurological images along with multiple biomedical tests. This information opens up the possibility of comparing different biomarker classification results. As data come from heterogeneous sources, it is expected that we could include some of these biomarkers in order to obtain new information about the pathology. Based on that idea, this work presents an Ensemble Classification model with Performance Weighting. This proposal has been tested comparing Healthy Control subjects (HC) vs. patients with PD (considering both PD and SWEDD labeled subjects as the same class). This model combines several Support-Vector-Machine...Continue Reading

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Citations

Jul 17, 2019·Molecular Imaging and Biology : MIB : the Official Publication of the Academy of Molecular Imaging·Susanna NuvoliBarbara Palumbo
Aug 14, 2020·International Journal of Neural Systems·Diego Castillo-BarnesJuan M Górriz
Jan 11, 2020·Frontiers in Neurology·Alexander KilzheimerJulia M Schulze-Hentrich
Dec 1, 2018·Japanese Journal of Radiology·Koji Sakai, Kei Yamada
May 25, 2021·Frontiers in Aging Neuroscience·Jie MeiJohannes Frasnelli

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Methods Mentioned

BETA
feature extraction
ELISA

Software Mentioned

SPM12
SPM ( Statistical Parametric Mapping )
DaTSCAN

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