Classification accuracy and functional difference prediction in different brain regions of drug abuser prefrontal lobe basing on machine-learning

DOI10.3934/MBE.2021288zbMath1501.92079OpenAlexW3176340662MaRDI QIDQ2092032

Xuelin Gu, Shouwei Gao, Ding Xu, Bang-Hua Yang

Publication date: 2 November 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021288

zbMATH Keywords

machine learningdrug addictionaccuracy of brain regionsBrodmann areasdifferences in brain functionfNIRS

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biomedical imaging and signal processing (92C55)

Cites Work

• Dynamics of an age-structured heroin transmission model with vaccination and treatment
• Global dynamics for a multi-group alcoholism model with public health education and alcoholism age

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