• Journal of Innovative Optical Health Sciences
  • Vol. 15, Issue 2, 2250012 (2022)
1,2,3,*, 1,3, 1, 4..., 3,5 and 4|Show fewer author(s)
Author Affiliations
  • 1School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, P. R. China
  • 2Engineering Research Center of Traditional, Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, P. R. China
  • 3Shanghai Intelligent Engineering Technology Research, Center for Addiction and Rehabilitation, Minhang District 200240, Shanghai, P. R. China
  • 4Department of Radiology & Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710038, P. R. China
  • 5Shanghai Drug Rehabilitation Administration Bureau, Shanghai 200080, P. R. China
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    DOI: 10.1142/s1793545822500122 Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Different types of drug abusers prefrontal cortex activation patterns and based on machine-learning classification[J]. Journal of Innovative Optical Health Sciences, 2022, 15(2): 2250012 Copy Citation Text show less
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    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Different types of drug abusers prefrontal cortex activation patterns and based on machine-learning classification[J]. Journal of Innovative Optical Health Sciences, 2022, 15(2): 2250012
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