• Chinese Med J Peking · Mar 2016

    Review

    Application and Exploration of Big Data Mining in Clinical Medicine.

    • Yue Zhang, Shu-Li Guo, Li-Na Han, and Tie-Ling Li.
    • Department of Cardiovascular Internal Medicine, Nanlou Branch of Chinese People's Liberation Army General Hospital, Beijing 100853, China.
    • Chinese Med J Peking. 2016 Mar 20; 129 (6): 731738731-8.

    ObjectiveTo review theories and technologies of big data mining and their application in clinical medicine.Data SourcesLiteratures published in English or Chinese regarding theories and technologies of big data mining and the concrete applications of data mining technology in clinical medicine were obtained from PubMed and Chinese Hospital Knowledge Database from 1975 to 2015.Study SelectionOriginal articles regarding big data mining theory/technology and big data mining's application in the medical field were selected.ResultsThis review characterized the basic theories and technologies of big data mining including fuzzy theory, rough set theory, cloud theory, Dempster-Shafer theory, artificial neural network, genetic algorithm, inductive learning theory, Bayesian network, decision tree, pattern recognition, high-performance computing, and statistical analysis. The application of big data mining in clinical medicine was analyzed in the fields of disease risk assessment, clinical decision support, prediction of disease development, guidance of rational use of drugs, medical management, and evidence-based medicine.ConclusionBig data mining has the potential to play an important role in clinical medicine.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…