PPAD: a deep learning architecture to predict progression of Alzheimer's disease Article

Al Olaimat, Mohammad, Martinez, Jared, Saeed, Fahad et al. (2023). PPAD: a deep learning architecture to predict progression of Alzheimer's disease . BIOINFORMATICS, 39 i149-i157. 10.1093/bioinformatics/btad249

Open Access

cited authors

  • Al Olaimat, Mohammad; Martinez, Jared; Saeed, Fahad; Bozdag, Serdar

sustainable development goals

authors

publication date

  • June 30, 2023

published in

keywords

  • ARTIFICIAL NEURAL-NETWORKS
  • BIOMARKERS
  • Biochemical Research Methods
  • Biochemistry & Molecular Biology
  • Biotechnology & Applied Microbiology
  • CONVERSION
  • CORE
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • DIAGNOSIS
  • FUTURE
  • Life Sciences & Biomedicine
  • MILD COGNITIVE IMPAIRMENT
  • Mathematical & Computational Biology
  • Mathematics
  • NEUROIMAGING INITIATIVE PROGRESS
  • Physical Sciences
  • RISK-FACTORS
  • Science & Technology
  • Statistics & Probability
  • Technology
  • UPDATE

Location

  • FRANCE, Lyon

Digital Object Identifier (DOI)

publisher

  • OXFORD UNIV PRESS

start page

  • i149

end page

  • i157

volume

  • 39