A Web Platform for data acquisition and analysis for Alzheimer's disease

Gabriel Lizarraga, Mercedes Cabrerizo, Ranjan Duara, Niovi Rojas, Malek Adjouadi, David Loewenstein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This study introduces a new implementation of a Web Interface and Web Services for the automatic acquisition and processing of data for neurological studies, with a focus on Alzheimer's Disease (AD). Our Web Platform consists of (a) a Data Upload module that provides forms and web services to store volumetric and surface area measures, derived from MRI, to a MySQL database; (b) a Web Interface and Web Services for classification of AD, utilizing Support Vector Machines (SVM). The MRI is processed with FreeSurfer (FS); the FS output is also made available to the Web Interface user. Our classifier was trained and tested with data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, and private data obtained from the Wien Center for Alzheimer's Disease and Memory Disorders at Mount Sinai Medical Center; with results comparable to other published studies. The design of the proposed Web Platform is scalable and can be easily adapted to other neurological disorders.

Original languageEnglish (US)
Title of host publicationSoutheastCon 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2016-July
ISBN (Electronic)9781509022465
DOIs
StatePublished - Jul 7 2016
EventSoutheastCon 2016 - Norfolk, United States
Duration: Mar 30 2016Apr 3 2016

Other

OtherSoutheastCon 2016
CountryUnited States
CityNorfolk
Period3/30/164/3/16

Keywords

  • Alzheimer's disease
  • style
  • support vector machine
  • SVM
  • web services

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing

Fingerprint Dive into the research topics of 'A Web Platform for data acquisition and analysis for Alzheimer's disease'. Together they form a unique fingerprint.

  • Cite this

    Lizarraga, G., Cabrerizo, M., Duara, R., Rojas, N., Adjouadi, M., & Loewenstein, D. (2016). A Web Platform for data acquisition and analysis for Alzheimer's disease. In SoutheastCon 2016 (Vol. 2016-July). [7506730] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SECON.2016.7506730