Detection of prenatal alcohol exposure using machine learning classification of resting-state functional network connectivity data - Rodriguez, Carlos I.; Vergara, Victor M.; Davies, Suzy; Calhoun, Vince D.; Savage, Daniel D.; Hamilton, Derek A. (Alcohol (Fayetteville, N.Y.), 2021)
Keywords: Alcohol use; Algorithms; Animal cognition; Brain research; Classification; Females; Fetal alcohol spectrum disorder; Fetal alcohol syndrome; Functional magnetic resonance imaging; Functional network connectivity; Hippocampus; Learning algorithms; Machine learning; Magnetic resonance imaging; Males; Medical imaging; Neural networks; Prenatal alcohol exposure; Prenatal experience; Prenatal exposure; Psychiatric/Mental Health; Public health; Quantitative psychology; Saccharin; Variables; United States--US; Functional network connectivity; Fetal alcohol spectrum disorder; Prenatal alcohol exposure; Machine learning; Prenatal Alcohol Exposure; Fetal Alcohol Spectrum Disorder; Machine Learning; Functional Network Connectivity