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Persamaan Evolusi Proses Semi-Markov Homogen dalam PerhitunganPremi Tambahan Asuransi Kesehatan Rawat Jalan Penyakit ISPA

S.Si. Faihatuz Zuhairoh,Dr.rer.nat. Dedi Rosadi-2011-01-01
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TL;DRAbstract

In this thesis discussed the determination of health insurances premiums rider for outpatient respiratory disease. Respiratory disease is a disease the most treated in outpatient cases. Respiratory diseases were divided into two groups, instead of pneumonia and pneumonia are in distinguishable from the complaints of patient when a visit. The model used is a multistate model with semi-Markov assumption, expressed as a probability model of transition from one state to another state. Data was collected from a clinic located in Garut, West Java. There are two covariates of age and gender. To estimate the probability of transition between the states of used the evolution equations solution. As a result, we provide rider premium table rate categorized by the covariates.

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In this thesis discussed the determination of health insurances premiums rider for outpatient respiratory disease. Respiratory disease is a disease the most treated in outpatient cases. Respiratory diseases were divided into two groups, instead of pneumonia and pneumonia are in distinguishable from the complaints of patient when a visit. The model used is a multistate model with semi-Markov assumption, expressed as a probability model of transition from one state to another state. Data was collected from a clinic located in Garut, West Java. There are two covariates of age and gender. To estimate the probability of transition between the states of used the evolution equations solution. As a result, we provide rider premium table rate categorized by the covariates.

Keywords

CovariateMarkov chainMedicineMarkov modelPneumoniaHidden Markov modelStatisticsDemography

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