The application of medical big data in central nervous system diseases

Abstract

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. doi：10.3969/j.issn.1672⁃6731.2021.03.002

Keywords

• nervous system diseases
• automatic data processing
• electronic health records
• computational biology
• review