Literature DB >> 25186249

A study on specialist or special disease clinics based on big data.

Zhuyuan Fang1, Xiaowei Fan, Gong Chen.   

Abstract

Correlation analysis and processing of massive medical information can be implemented through big data technology to find the relevance of different factors in the life cycle of a disease and to provide the basis for scientific research and clinical practice. This paper explores the concept of constructing a big medical data platform and introduces the clinical model construction. Medical data can be collected and consolidated by distributed computing technology. Through analysis technology, such as artificial neural network and grey model, a medical model can be built. Big data analysis, such as Hadoop, can be used to construct early prediction and intervention models as well as clinical decision-making model for specialist and special disease clinics. It establishes a new model for common clinical research for specialist and special disease clinics.

Mesh:

Year:  2014        PMID: 25186249     DOI: 10.1007/s11684-014-0356-9

Source DB:  PubMed          Journal:  Front Med        ISSN: 2095-0217            Impact factor:   4.592


  1 in total

Review 1.  Big data and clinicians: a review on the state of the science.

Authors:  Weiqi Wang; Eswar Krishnan
Journal:  JMIR Med Inform       Date:  2014-01-17
  1 in total
  1 in total

1.  Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform.

Authors:  Lifeng Li; Jingli Lu; Wenhua Xue; Liping Wang; Yunkai Zhai; Zhirui Fan; Ge Wu; Feifei Fan; Jieyao Li; Chaoqi Zhang; Yi Zhang; Jie Zhao
Journal:  Oncotarget       Date:  2017-03-28
  1 in total

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