Recursive Cluster Elimination Based Support Vector Machine for Disease State Prediction Using Resting State Functional and Effective Brain Connectivity - Deshpande, Gopikrishna; Li, Zhihao; Santhanam, Priya; Coles, Claire D.; Lynch, Mary Ellen; Hamann, Stephan; Hu, Xiaoping (PloS one, 2010)
Keywords: Accuracy; Adolescent; Algorithms; Artificial intelligence; Behavioral sciences; Biomarkers; Biomarkers - metabolism; Biomedical engineering; Brain; Brain - drug effects; Brain - physiology; Brain mapping; Brain Mapping - methods; Brain research; Causality; Child; Classification; Classifiers; Clusters; Cocaine; Cocaine - adverse effects; Cognition; Cognition & reasoning; Cohort Studies; Correlation; Diagnosis; Differential diagnosis; Engineering; Exposure; Female; Functional magnetic resonance imaging; Humans; Hypothesis testing; Localization; Magnetic resonance; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Maternal Exposure; Mathematical models; Mathematics/Statistics; Medical imaging; Neural networks; Neuroimaging; Neurological Disorders/Developmental and Pediatric Neurology; Neurological Disorders/Neuroimaging; Neurological Disorders/Neuropsychiatric Disorders; Neurology; Neuroscience; Neuroscience/Cognitive Neuroscience; Neuroscience/Neurodevelopment; Neuroscience/Psychology; Neurosciences; NMR; Nuclear magnetic resonance; Predictions; Pregnancy; Prenatal experience; Prenatal Exposure Delayed Effects; Preschool children; Radiology and Medical Imaging/Magnetic Resonance Imaging; Reproducibility of Results; Signal processing; Studies; Support vector machines; Trends; Atlanta Georgia; United States--US; Georgia