Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks

Abstract

Background: In recent years, predicting and modeling the progression of Alzheimer’s disease (AD) based on neuropsychological tests has become increasingly appealing in AD research.

Document Details

• Document Type: Pub Defense Publication
• Publication Date: Jan 06, 2022
• Source ID: 10.3389/fncom.2021.769982

Entities

People

• Abbas Babajani-feremi
• Seyed Hani Hojjati
• The Alzheimer’s Disease Neuroimaging Initiative*

Tags

Fields of Study

• Chemistry

Readers

• Distributed Systems and Data Platform Development
• Neurodegenerative Parkinson's Disease and Rickettsial Disease handbook, including the data level of dopamine, BC, neurons, and PD.
• Psychometric Testing or Psychological Assessment.

Technology Areas

• AI & ML
• AI & ML - Neural Networks