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Proposal of a health care network based on big data analytics for PDs.

Authors :
Carnimeo, Leonarda
Trotta, Gianpaolo Francesco
Brunetti, Antonio
Cascarano, Giacomo Donato
Buongiorno, Domenico
Loconsole, Claudio
Di Sciascio, Eugenio
Bevilacqua, Vitoantonio
Source :
Journal of Engineering; Jun2019, Vol. 2019 Issue 6, p4603-4611, 9p
Publication Year :
2019

Abstract

Health care networks for Parkinson's disease (PD) already exist and have been already proposed in the literature, but most of them are not able to analyse the vast volume of data generated from medical examinations and collected and organised in a pre-defined manner. In this work, the authors propose a novel health care network based on big data analytics for PD. The main goal of the proposed architecture is to support clinicians in the objective assessment of the typical PD motor issues and alterations. The proposed health care network has the ability to retrieve a vast volume of acquired heterogeneous data from a Data warehouse and train an ensemble SVM to classify and rate the motor severity of a PD patient. Once the network is trained, it will be able to analyse the data collected during motor examinations of a PD patient and generate a diagnostic report on the basis of the previously acquired knowledge. Such a diagnostic report represents a tool both to monitor the follow up of the disease for each patient and give robust advice about the severity of the disease to clinicians. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20513305
Volume :
2019
Issue :
6
Database :
Complementary Index
Journal :
Journal of Engineering
Publication Type :
Academic Journal
Accession number :
148148569
Full Text :
https://doi.org/10.1049/joe.2018.5142