Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data

Keyphrases

• Attention Deficit Hyperactivity Disorder 100%
• Multi-task Learning 100%
• Autism Spectrum Disorder Screening 100%
• Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) 100%
• Autism Spectrum Disorder 80%
• Mental Disorders 40%
• Feature Selection Methods 40%
• Graph Selection 40%
• Multi-gate Mixture-of-experts 40%
• Learning Classification 40%
• Performance Improvement 20%
• Public Health Risk 20%
• Effective Structure 20%
• Learning Paradigm 20%
• Classification Performance 20%
• High Prevalence 20%
• Experiment Results 20%
• Cognitive Behavior 20%
• Behavioral Manifestations 20%
• Clinical Symptoms 20%
• Biochemical Markers 20%
• Cognitive Phenotype 20%
• Disease-specific 20%
• Classification Framework 20%
• Reliable Classification 20%
• Neural Activation Patterns 20%
• Mixture of Experts Models 20%
• Neuroimaging Analysis 20%
• Functional Connectivity Features 20%

Computer Science

• Multitask Learning 100%
• Functional State 50%
• Feature Selection 50%
• Activation Pattern 25%
• Classification Framework 25%
• Imaging Signal 25%
• Clinical Symptom 25%
• Gold Standard 25%
• Performance Improvement 25%
• Classification Performance 25%
• Laboratory Test 25%
• Functional Connectivity 25%

Neuroscience

• Attention Deficit Hyperactivity Disorder 100%
• Pervasive Developmental Disorder 100%
• Functional Magnetic Resonance Imaging 100%
• Mental Disorder 40%
• Functional Connectivity 20%