Your browser doesn't support javascript.
loading
Application of bi-modal signal in the classification and recognition of drug addiction degree based on machine learning.
Gu, Xuelin; Yang, Banghua; Gao, Shouwei; Yan, Lin Feng; Xu, Ding; Wang, Wen.
Affiliation
  • Gu X; School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China.
  • Yang B; School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China.
  • Gao S; School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China.
  • Yan LF; Department of Radiology & Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710038, China.
  • Xu D; Shanghai Drug Rehabilitation Administration Bureau, Shanghai 200080, China.
  • Wang W; Department of Radiology & Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710038, China.
Math Biosci Eng ; 18(5): 6926-6940, 2021 08 20.
Article in En | MEDLINE | ID: mdl-34517564
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Substance-Related Disorders / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Math Biosci Eng Year: 2021 Document type: Article Affiliation country: China Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Substance-Related Disorders / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Math Biosci Eng Year: 2021 Document type: Article Affiliation country: China Country of publication: United States