👉 Mortality computing is an interdisciplinary field that integrates data science, actuarial science, and healthcare to predict and manage the risk of death in populations. It involves the use of advanced analytics, machine learning algorithms, and large datasets to estimate mortality rates and identify factors influencing life expectancy. By analyzing demographic, socioeconomic, and health-related data, mortality computing helps in developing more accurate life tables, improving risk assessment models for insurance and pension planning, and informing public health policies. This approach enables more precise predictions of life expectancy, which can lead to better resource allocation and personalized healthcare interventions, ultimately aiming to enhance population health outcomes and longevity.
