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Risk estimation based on mixed normal distribution model for diabetes-related hospitalization claims

Risk estimation based on mixed normal distribution model for diabetes-related hospitalization claims
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摘要 Medical insurance service, the important part of national healthcare supporting system with a history dating back more than 100 years ago, remains a global challenge because of its high rates of compensation and difficulty in risk control. When developing the diabetes related, hospitalization insurance, we found that the risk loss of the diabetic inpatients does not follow a symmetrical unimodal distribution: in fact, it is hard to describe its risk loses distribution with a single probability distribution model. Therefore, we put forward a risk measurement method based on a mixed normal distributions model for medical insurance of inpatients with diabetes. Medical insurance service, the important part of national healthcare supporting system with a history dating back more than 100 years ago, remains a global challenge because of its high rates of compensation and difficulty in risk control. When developing the diabetes related, hospitalization insurance, we found that the risk loss of the diabetic inpatients does not follow a symmetrical unimodal distribution: in fact, it is hard to describe its risk loses distribution with a single probability distribution model. Therefore, we put forward a risk measurement method based on a mixed normal distributions model for medical insurance of inpatients with diabetes.
出处 《Chinese Medical Journal》 SCIE CAS CSCD 2006年第9期774-778,共5页 中华医学杂志(英文版)
基金 This study was granted by Guangdong Province Medical Science Research Fund (No. A2002255)
关键词 mixed normal distribution model compound Poisson distribution diabetes PREMIUM ruin probability reserve mixed normal distribution model compound Poisson distribution diabetes premium ruin probability reserve
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参考文献2

  • 1Chen Z,Dunson DB.Random effects selection in linear mixed models[].Biometrics.2003
  • 2Dickson DC.Insurance risk and ruin[]..2005

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