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Analyzing brain structural differences associated with categories of blood pressure in adults using empirical kernel mapping-based kernel ELM.
Yu, Xinying; Peng, Bo; Xue, Zeyu; Rad, Hamidreza Saligheh; Cai, Zhenlin; Shi, Jun; Zhu, Jianbing; Dai, Yakang.
Afiliación
  • Yu X; Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China.
  • Peng B; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, Jiangsu, China.
  • Xue Z; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, Jiangsu, China.
  • Rad HS; Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China.
  • Cai Z; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, Jiangsu, China.
  • Shi J; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, Jiangsu, China.
  • Zhu J; Quantitative Medical Imaging Systems Group, Research Center for Molecular and Cellular Imaging, Institute for Advanced Medical Technologies and Devices, Tehran University of Medical Sciences, Tehran, Iran.
  • Dai Y; The Affiliated Suzhou Science & Technology Town Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
Biomed Eng Online ; 18(1): 124, 2019 Dec 27.
Article en En | MEDLINE | ID: mdl-31881897
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Presión Sanguínea / Procesamiento de Imagen Asistido por Computador / Encéfalo / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Biomed Eng Online Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2019 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Presión Sanguínea / Procesamiento de Imagen Asistido por Computador / Encéfalo / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Biomed Eng Online Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2019 Tipo del documento: Article País de afiliación: China