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

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.

Keywords

big data / correlation analysis / medical information / integration / data analysis / clinical model

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Acknowledgements

This work was supported by the National High Technology Research and Development Program of China (Grant No. 2012AA02A609) and the Special Scientific Research Fund of the Traditional Chinese Medicine (Grant No. 201207001).

Compliance with ethics guidelines

Zhuyuan Fang, Xiaowei Fan, and Gong Chen declare that they have no conflict of interest. This article does not contain studies with humans or animals as subjects conducted by any of the authors.

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg