Prediction of Cognitive Test Scores from Variable Length Multimodal Data in Alzheimer's Disease Article

Morar, Ulyana, Martin, Harold, Robin, PMP et al. (2023). Prediction of Cognitive Test Scores from Variable Length Multimodal Data in Alzheimer's Disease . Cognitive Computation, 15(6), 2062-2086. 10.1007/s12559-023-10169-w

Open Access

cited authors

  • Morar, Ulyana; Martin, Harold; Robin, PMP; Izquierdo, Walter; Zarafshan, Elaheh; Forouzannezhad, Parisa; Unger, Elona; Cabrerizo, Mercedes; Cid, Rosie E Curiel E; Rosselli, Monica; Barreto, Armando; Rishe, Naphtali; Vaillancourt, David E; DeKosky, Steven T; Loewenstein, David; Duara, Ranjan; Adjouadi, Malek

sustainable development goals

authors

publication date

  • November 1, 2023

published in

keywords

  • ASSESSMENT SCALE
  • Alzheimer's Disease Neuroimaging Initiative (ADNI)
  • Alzheimer's disease
  • Cerebrospinal fluid
  • Computer Science
  • Computer Science, Artificial Intelligence
  • DECLINE
  • Deep learning
  • LSTM
  • Life Sciences & Biomedicine
  • Longitudinal analysis
  • MODEL
  • Magnetic resonance imaging (MRI)
  • Missing data
  • Multimodal
  • Multitask
  • Neurosciences
  • Neurosciences & Neurology
  • PROGRESSION
  • Science & Technology
  • Technology

Digital Object Identifier (DOI)

start page

  • 2062

end page

  • 2086

volume

  • 15

issue

  • 6