Miocardial infarction is a critical illness that might cause disability or even death. A great amount of money is needed to cover the medical cost of an infarct patient and this will cause a great financial burden to the family. This illness can attack people of all ages, including those who are at productive age. Miocardial infarct insurance can be a long-term guarantee so that individuals are financially protected when they suffered from a infarct or even died. In this paper, infarct insurance was modeled with a three state model: healthy, sick (after infarct) and death. A model for calculating insurance premiums and reserves based on the gender and age of the insured is presented
We have developed' a multiple - state stochastic Markov model incorporating the factors hypertension...
[[abstract]]A risk prediction model for major cardiovascular events was developed using population s...
The relevance of critical illness coverage and life insurance in cause specific mortality conditions...
In Part I we construct a model for the development of coronary heart disease (CHD) or stroke that ei...
Due to increasing cases of cancer and other severe illnesses, there is a great demand of critical i...
The chances of someone getting a disease or suffering from a critical illness are very large, especi...
The aim of this paper will be analysis of some problems about health and sickness insurance. There...
Cardiovascular disease is the leading cause of death in the United States, affecting nearly eighty m...
grantor: University of TorontoThe traditional actuarial assumption is to assume that for a...
Health Insurance aims at filling a gap in actuarial literature, attempting to solve the frequent mis...
Objectives A policy model is a model that can evaluate the effectiveness and cost-effectiveness of i...
Health Insurance aims at filling a gap in actuarial literature, attempting to solve the frequent mis...
PURPOSE: In France, myocardial infarction (MI) was the second leading cause of years of life lost in...
Onsets of myocardial infarctions and mortality in women and men by controlling for insurance group: ...
The Continuous Mortality Investigation (CMI) of the Institute of Actuaries and the Faculty of Actuar...
We have developed' a multiple - state stochastic Markov model incorporating the factors hypertension...
[[abstract]]A risk prediction model for major cardiovascular events was developed using population s...
The relevance of critical illness coverage and life insurance in cause specific mortality conditions...
In Part I we construct a model for the development of coronary heart disease (CHD) or stroke that ei...
Due to increasing cases of cancer and other severe illnesses, there is a great demand of critical i...
The chances of someone getting a disease or suffering from a critical illness are very large, especi...
The aim of this paper will be analysis of some problems about health and sickness insurance. There...
Cardiovascular disease is the leading cause of death in the United States, affecting nearly eighty m...
grantor: University of TorontoThe traditional actuarial assumption is to assume that for a...
Health Insurance aims at filling a gap in actuarial literature, attempting to solve the frequent mis...
Objectives A policy model is a model that can evaluate the effectiveness and cost-effectiveness of i...
Health Insurance aims at filling a gap in actuarial literature, attempting to solve the frequent mis...
PURPOSE: In France, myocardial infarction (MI) was the second leading cause of years of life lost in...
Onsets of myocardial infarctions and mortality in women and men by controlling for insurance group: ...
The Continuous Mortality Investigation (CMI) of the Institute of Actuaries and the Faculty of Actuar...
We have developed' a multiple - state stochastic Markov model incorporating the factors hypertension...
[[abstract]]A risk prediction model for major cardiovascular events was developed using population s...
The relevance of critical illness coverage and life insurance in cause specific mortality conditions...