Early Detection Models for Persons with Probable Alzheimer's Disease with Deep Learning

Tingyan Wang, Jason L. Qiu, Robin G. Qiu, Ming Yu

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

Abstract

Unfortunately, Alzheimer's disease (AD) cannot be cured or slowed with today's medication. Scientific studies have revealed that 1) a cognition drop is a precursor of AD, 2) the progression of AD is highly correlated to cognition decline, and 3) AD early detection and intervention becomes increasingly clear to be the best choice of improving quality of life for persons with probable AD as of today. This project aims to improve the predictive model we developed earlier by focusing on AD early detection. We present how recurrent neuron network (RNN) models can be adopted to AD early detection modeling (AD-EDM). Compared to models built from traditional approaches such as neuron networks, Bayesian networks, and tree-based algorithms, we demonstrate the prediction accuracy of RNN AD-EDM increases substantially.

Original languageEnglish (US)
Title of host publicationProceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2089-2092
Number of pages4
ISBN (Electronic)9781538618035
DOIs
StatePublished - Sep 20 2018
Event2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018 - Xi'an, China
Duration: May 25 2018May 27 2018

Publication series

NameProceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

Other

Other2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
CountryChina
CityXi'an
Period5/25/185/27/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Control and Optimization

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  • Cite this

    Wang, T., Qiu, J. L., Qiu, R. G., & Yu, M. (2018). Early Detection Models for Persons with Probable Alzheimer's Disease with Deep Learning. In B. Xu (Ed.), Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018 (pp. 2089-2092). [8469380] (Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCEC.2018.8469380