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Feature level-based group lasso method for amnestic mild cognitive impairment diagnosis.
Jin, Leiming; Du, Wenying; Ma, Baoqiang; Zeng, Debin; Han, Ying; Li, Shuyu.
Affiliation
  • Jin L; School of Biological Science and Medical Engineering, Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 100083, China.
  • Du W; Department of Neurology, Xuan Wu Hospital of Capital Medical University, Beijing 100053, China.
  • Ma B; School of Biological Science and Medical Engineering, Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 100083, China.
  • Zeng D; School of Biological Science and Medical Engineering, Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 100083, China.
  • Han Y; Department of Neurology, Xuan Wu Hospital of Capital Medical University, Beijing 100053, China; School of Biomedical Engineering, Hainan University, Haikou 570228, China; Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing 100053, China; National Clinical Research Center fo
  • Li S; School of Biological Science and Medical Engineering, Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 100083, China; State Key Lab of Cognition Neuroscience and Learning, Beijing Normal University, Beijing 100875, China. Electronic address: shuyuli@buaa.edu
Comput Methods Programs Biomed ; 208: 106286, 2021 Sep.
Article de En | MEDLINE | ID: mdl-34311412
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Maladie d'Alzheimer / Dysfonctionnement cognitif Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Humans Langue: En Journal: Comput Methods Programs Biomed Sujet du journal: INFORMATICA MEDICA Année: 2021 Type de document: Article Pays d'affiliation: Chine Pays de publication: Irlande
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Maladie d'Alzheimer / Dysfonctionnement cognitif Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Humans Langue: En Journal: Comput Methods Programs Biomed Sujet du journal: INFORMATICA MEDICA Année: 2021 Type de document: Article Pays d'affiliation: Chine Pays de publication: Irlande