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Identifying peripheral arterial disease in the elderly patients using machine-learning algorithms.
Gao, Jian-Min; Ren, Zeng-Hua; Pan, Xin; Chen, Yu-Xin; Zhu, Wei; Li, Wei; Yang, Yan-Xi; Fu, Guo-Xiang.
Afiliação
  • Gao JM; School of Urban Construction and Safety Engineering, Shanghai Institute of Technology, 100 Haiquan Road, Fengxian District, Shanghai, 201418, China.
  • Ren ZH; Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 222, Huanhu West Third Road, Nanhui New Town, Pudong New Area, Shanghai, 201306, People's Republic of China.
  • Pan X; Department of Geriatrics, The Tenth People's Hospital of Shanghai, Tongji University, No. 301, Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
  • Chen YX; Department of Geriatrics, The Tenth People's Hospital of Shanghai, Tongji University, No. 301, Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
  • Zhu W; Department of Geriatrics, The Tenth People's Hospital of Shanghai, Tongji University, No. 301, Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
  • Li W; Department of Geriatrics, The Tenth People's Hospital of Shanghai, Tongji University, No. 301, Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
  • Yang YX; Department of Geriatrics, The Tenth People's Hospital of Shanghai, Tongji University, No. 301, Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
  • Fu GX; Department of Geriatrics, The Tenth People's Hospital of Shanghai, Tongji University, No. 301, Yanchang Middle Road, Shanghai, 200072, People's Republic of China. fuguoxiang888@126.com.
Aging Clin Exp Res ; 34(3): 679-685, 2022 Mar.
Article em En | MEDLINE | ID: mdl-34570316
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Doença Arterial Periférica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: Aging Clin Exp Res Assunto da revista: GERIATRIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Alemanha
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Doença Arterial Periférica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: Aging Clin Exp Res Assunto da revista: GERIATRIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Alemanha