Providing new impetus to corporate well-being programmes: improving life expectancy through risk assessment

Diseases of the circulatory system are leading causes death, which compel stakeholders to lessen cardiovascular risks by utilising more effective prevention. These can be estimated based on gender, age, smoker status, systolic blood pressure, and total cholesterol. Artificial neural networks enable modelling 10-year mortality rates. Understandable communica-tion potential gains in life expectancy may enhance health consciousness through mitigating behavioural risks. The reproduction death statistics requires adjustment recommended probabilities for occurrence fatal events. This study deals with countries at high low risk, selecting Hungary Czech Republic (high risk) Austria (low risk). In Hungary, (43.4 – 36.2 =) 7.21 years fe-males (37.4 28.0 9.4 males, both aged 40. figures moderate (21.2 15.6 5.72 (17.1 11.3 5.8 elderly people 65, respectively. represents an interim phase between two other regarding ad-vancement expectancy, respective exceed Hungarian values: (45.8 37.8 8.0, (39.7 29.7 10.0, (23.0 16.6 6.4, (18.2 12.3 5.9 years. contrast, a 40-year-old woman benefit from additional (46.6 41.3 5.3 Austria, while corresponding accrual men is (42.3 35.7 6.6 On reaching 65 years, increment (23.4 19.3 4.1 (20.0 16.1 3.9