Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models.

Abstract

Authors

• Samad Amini
  Department of Electrical & Computer Engineering, Division of Systems Engineering, and Department of Biomedical Engineering, Boston University, Boston, MA, USA.
• Boran Hao
  Department of Electrical & Computer Engineering, Division of Systems Engineering, and Department of Biomedical Engineering, Boston University, Boston, MA, USA.
• Jingmei Yang
  Division of System EngineeringBoston University Boston MA 02246 USA.
• Cody Karjadi
  Framingham Heart Study, Boston University, Boston, MA, USA.
• Vijaya B Kolachalama
  1Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118 USA.
• Rhoda Au
  Boston University School of Medicine, rhodaau@bu.edu.
• Ioannis C Paschalidis
  From the Department of Medicine (M.F.R., R.A., V.B.K.), Boston University Chobanian & Avedisian School of Medicine, MA; Department of Radiology and Biomedical Imaging (M.F.R.), University of California, San Francisco; Department of Neurology (L.C.S., R.A.), Boston University Chobanian & Avedisian School of Medicine; Department of Electrical and Computer Engineering (I.C.P.), Division of Systems Engineering, and Department of Biomedical Engineering; Faculty of Computing and Data Sciences (I.C.P., V.B.K.), Boston University; Department of Anatomy and Neurobiology (R.A.); The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine; Department of Epidemiology, Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (R.A.); and Department of Computer Science (V.B.K.), Boston University, MA.

Keywords

External Resources