A distributed multitask multimodal approach for the prediction of Alzheimer's disease in a longitudinal study Article

Tabarestani, Solale, Aghili, Maryamossadat, Eslami, Mohammad et al. (2020). A distributed multitask multimodal approach for the prediction of Alzheimer's disease in a longitudinal study . NEUROIMAGE, 206 10.1016/j.neuroimage.2019.116317

Open Access

cited authors

  • Tabarestani, Solale; Aghili, Maryamossadat; Eslami, Mohammad; Cabrerizo, Mercedes; Barreto, Armando; Rishe, Naphtali; Curiel, Rosie E; Loewenstein, David; Duara, Ranjan; Adjouadi, Malek

sustainable development goals

authors

publication date

  • February 1, 2020

published in

keywords

  • AGE
  • Alzheimer's disease
  • BIOMARKERS
  • CLASSIFICATION
  • CSF
  • DECLINE
  • Fused sparse group Lasso
  • Gradient boosting
  • Life Sciences & Biomedicine
  • Longitudinal study
  • MILD COGNITIVE IMPAIRMENT
  • MRI
  • Missing values
  • Multimodal regression
  • Multitask learning
  • Neuroimaging
  • Neurosciences
  • Neurosciences & Neurology
  • ONSET
  • PROGRESSION
  • Progression
  • REGRESSION
  • Radiology, Nuclear Medicine & Medical Imaging
  • Science & Technology

Digital Object Identifier (DOI)

publisher

  • ACADEMIC PRESS INC ELSEVIER SCIENCE

volume

  • 206