Predicting patient reported outcomes of cognitive function using connectome-based predictive modeling in breast cancer

Keyphrases

• Cognitive Function 100%
• Chemotherapy 100%
• Breast Cancer 100%
• Executive Dysfunction 100%
• Patient-reported Outcomes 100%
• Connectome-based Predictive Modeling 100%
• Memory Function 66%
• Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) 66%
• Cancer-related Cognitive Impairment 66%
• Adverse Events 33%
• Statistical Analysis 33%
• Early Intervention 33%
• Neuroimaging 33%
• Cognitive Effects 33%
• Patient Care 33%
• Economic Cost 33%
• Treatment-related 33%
• Healthy Women 33%
• Human Cost 33%
• Cognitive Outcome 33%
• Psychological Distress 33%
• High Performance 33%
• Patients with Breast Cancer 33%
• Post-chemotherapy 33%
• Female Control 33%
• Independent T-test 33%
• Newly Diagnosed Patients 33%
• Connectome 33%
• Linear Mixed Modeling 33%
• Radial Basis Function 33%
• Least Squares Support Vector Regression (LSSVR) 33%

Neuroscience

• Cognitive Function 100%
• Executive Dysfunction 100%
• Cognitive Disorders 66%
• Functional Magnetic Resonance Imaging 66%
• Memory 66%
• Distress Syndrome 33%
• Cognitive Effect 33%