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


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.
ISBN (Electronic)9781509022465
StatePublished - Jul 7 2016
Externally publishedYes
EventSoutheastCon 2016 - Norfolk, United States
Duration: Mar 30 2016Apr 3 2016

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)0734-7502


OtherSoutheastCon 2016
Country/TerritoryUnited States


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

ASJC Scopus subject areas

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


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