The application of medical big data in central nervous system diseases.

Nervous system diseases are associated with complexity and diversity. As a result, the prognosis of patients deeply depends on physicians' clinical experience and their diagnosis and treatment level. With the exponential growth of medical big data and the development of statistical analysis tools, m...

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Publicado en:Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 21; no. 3; pp. 128 - 132
Autores principales: FENG Ming, ZHENG Xue-qing, WANG Ren-zhi
Formato: Journal Article
Publicado: Chinese Journal of Contemporary Neurology & Neurosurgery Mar2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2021
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      pub: Chinese Journal of Contemporary Neurology & Neurosurgery
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        atl: The application of medical big data in central nervous system diseases.
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          FENG Ming
          ZHENG Xue-qing
          WANG Ren-zhi
        affil: Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
      sug:
        subj:
          Data Analytics
          Central Nervous System Diseases Diagnosis
          Central Nervous System Diseases Prognosis
          Central Nervous System Diseases Therapy
          Bioinformatics
          Data Mining
      ab: Nervous system diseases are associated with complexity and diversity. As a result, the prognosis of patients deeply depends on physicians' clinical experience and their diagnosis and treatment level. With the exponential growth of medical big data and the development of statistical analysis tools, more researchers discover the pathogenesis of diseases and assist clinical process through the mining of big data, so as to improve the diagnosis, treatment, and prognosis of nervous system diseases. This paper elaborates the application of three kinds of medical big data in nervous system diseases, including structured data, radiomics, and bioinformatics.
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      doctype: Journal Article
      ougenre: Article
    language: Chinese
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