Identification of Binge Drinkers via Convolutional Neural Network and Support Vector Machine
Li G, Du S, Niu J, Zhang Z, Gao T, Tang X, Wang W, Li C. Identification of Binge Drinkers via Convolutional Neural Network and Support Vector Machine. 2021, 00: 715-720. DOI: 10.1109/icma52036.2021.9512720.Peer-Reviewed Original ResearchConvolutional neural networkNeural networkGray matter volumeSVM modelSupport vector machineNon-binge drinkersVector machine modelDeep learningVector machinePsychosocial measuresTraining samplesBinge drinkingYoung adult binge drinkingMachine modelAdult binge drinkingHuman Connectome ProjectNetworkPsychosocial markersClassificationConnectome ProjectBinge drinkersCortical thicknessMatter volumeBingeVolumetric differencesPerceived friendship and binge drinking in young adults: A study of the Human Connectome Project data
Li G, Chen Y, Le TM, Zhornitsky S, Wang W, Dhingra I, Zhang S, Tang X, Li CR. Perceived friendship and binge drinking in young adults: A study of the Human Connectome Project data. Drug And Alcohol Dependence 2021, 224: 108731. PMID: 33915512, PMCID: PMC8641247, DOI: 10.1016/j.drugalcdep.2021.108731.Peer-Reviewed Original ResearchConceptsNon-binge drinkersRight posterior insulaPeer influenceYoung adult binge drinkingSocial cognition tasksSocial cognitive processingAlcohol useBinge drinkingWhole-brain regressionAdult binge drinkingYoung adultsMedial orbitofrontal cortexHuman Connectome ProjectRPI activityAlcohol use severityHuman Connectome Project dataSocial cognitionCognition tasksCognitive processingNeural correlatesNeural processesPotential sex differencesOrbitofrontal cortexPosterior insulaConnectome Project