Journal of the Korean Operations Research and Management Science Society (한국경영과학회지)

The Korean Operations Research and Management Science Society (한국경영과학회)
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A Bayesian Approach for the Analysis of Times to Multiple Events : An Application on Healthcare Data

다사건 시계열 자료 분석을 위한 베이지안 기반의 통계적 접근의 응용

  • Seok, Junhee (School of Electrical Engineering, Korea University) ;
  • Kang, Yeong Seon (Department of Business Administration, University of Seoul)
  • 석준희 (고려대학교 공과대학 전기전자공학부) ;
  • 강영선 (서울시립대학교 경영대학 경영학부)
  • Received : 2014.08.22
  • Accepted : 2014.10.18
  • Published : 2014.11.30
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Abstract

Times to multiple events (TMEs) are a major data type in large-scale business and medical data. Despite its importance, the analysis of TME data has not been well studied because of the analysis difficulty from censoring of observation. To address this difficulty, we have developed a Bayesian-based multivariate survival analysis method, which can successfully estimate the joint probability density of survival times. In this work, we extended this method for the analysis of precedence, dependency and causality among multiple events. We applied this method to the electronic health records of 2,111 patients in a children's hospital in the US and the proposed analysis successfully shows the relation between times to two types of hospital visits for different medical issues. The overall result implies the usefulness of the multivariate survival analysis method in large-scale big data in a variety of areas including marketing, human resources, and e-commerce. Lastly, we suggest our future research directions based multivariate survival analysis method.

Keywords

References

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