Predictive modeling of the severity/progression of Alzheimer's diseases

Robin G. Qiu, Jason L. Qiu, Youakim Badr

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

4 Scopus citations

Abstract

Alzheimer's disease (AD) cannot be cured or slowed down with today's medication. Scientific studies have found that 1) the progression of AD is highly correlated to a cognition decline, 2) cognition drop is a precursor of Alzheimer's disease, and 3) making lifestyle changes and training the brain can slow down AD progression. This project aims to develop a predictive model to know the progression of an AD patient. Factors that influence the disease's severity and progression are determined, which would help facilitate developing a set of personalized care instructions to guide individuals in making the necessary lifestyle choices to retain or rejuvenate their brain's cognitive ability. Ultimately, the developed model can be potentially incorporated into a convenient self-diagnostic tool for the public to use at home.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages400-403
Number of pages4
ISBN (Electronic)9781509066674
DOIs
StatePublished - Oct 19 2017
Event2017 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2017 - Stockholm, Sweden
Duration: Aug 8 2017Aug 11 2017

Publication series

Name2017 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2017

Other

Other2017 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2017
CountrySweden
CityStockholm
Period8/8/178/11/17

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management
  • Management Science and Operations Research

Cite this

Qiu, R. G., Qiu, J. L., & Badr, Y. (2017). Predictive modeling of the severity/progression of Alzheimer's diseases. In 2017 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2017 (pp. 400-403). [8077739] (2017 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GSIS.2017.8077739