MULTISTATE HIDDEN MARKOV MODEL FOR HEALTH INSURANCE PREMIUM CALCULATION
Penulis/Author
Rianti Siswi Utami, S.Si., M.Sc. (1); Dr. Adhitya Ronnie Effendie, S.Si., M.Si., M.Sc. (2)
Tanggal/Date
2013
Kata Kunci/Keyword
Abstrak/Abstract
Health conditions over time can be modelled using multistate Markov
model. However, the information about health conditions is not always
available, but there is another information related to this condition. This paper
presents hidden Markov model to estimate transition intensity and observation
probability for multistate model where the true state is not observed. The
estimation of transition intensity and transition probability will be used to
calculate health insurance premium. By using this method, it is expected to get
an appropriate premium value. This method will be applied to patient’s visit in a
clinic in West Java.
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
35_Multistate Hidden Markov Model for Health Insurance Premium Calculation.pdf
