Machine Learning-Based Method for Personalized and Cost-Effective Detection of Alzheimer's Disease

Javier Escudero*, Emmanuel Ifeachor, John P. Zajicek, Colin Green, James Shearer, Stephen Pearson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)164-168
Number of pages0
JournalBiomedical Engineering, IEEE Transactions on
Volume60
Issue number1
DOIs
Publication statusPublished - 1 Jan 2013

Keywords

  • diseases
  • learning (artificial intelligence)
  • medical computing
  • neurophysiology
  • patient diagnosis
  • pattern classification
  • ADNI data
  • MCI patients
  • biomarker sequence
  • classifier model
  • cost effective Alzheimer disease detection
  • locally weighted learning;machine learning based method
  • mild cognitive impairment
  • personalized Alzheimer disease detection
  • Accuracy
  • Alzheimer’s disease
  • Biomarkers
  • Machine learning
  • Magnetic resonance imaging
  • Neuroimaging
  • Alzheimer's disease (AD)
  • classification
  • cost
  • machine learning
  • mild cognitive impairment (MCI)
  • personalization

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