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This is especially true for Healthy life expectancy, the definition of which criteria may change over time, even within a country. For example, Canada is a country with a fairly high overall life expectancy at 81.63 years; however, this number decreases to 75.5 years for Indigenous people in the country. [ 4 ]
The Equal Value of Life Years Gained or evLYG is a generic measure used to determine how much a medical treatment can extend the life of the patient. Unlike other healthcare metrics, the evLYG does not consider the quality of life for the patient; it exclusively considers the length of life.
It is not a true mathematical unit, as all ages, epochs, periods, eras, or eons don't have the same length; instead, their length is determined by the geological and historical events that define them individually. Note: The light-year is not a unit of time, but a unit of length of about 9.5 petametres (9 454 254 955 488 km).
Human life expectancy is a statistical measure of the estimate of the average remaining years of life at a given age. The most commonly used measure is life expectancy at birth (LEB, or in demographic notation e 0, where e x denotes the average life remaining at age x). This can be defined in two ways.
The quality-adjusted life year (QALY) is a generic measure of disease burden, including both the quality and the quantity of life lived. [ 1 ] [ 2 ] It is used in economic evaluation to assess the value of medical interventions. [ 1 ]
Longevity may refer to especially long-lived members of a population, whereas life expectancy is defined statistically as the average number of years remaining at a given age. For example, a population's life expectancy at birth is the same as the average age at death for all people born in the same year (in the case of cohorts).
Disability-adjusted life years (DALYs) are a measure of overall disease burden, expressed as the number of years lost due to ill-health, disability, or early death. It was developed in the 1990s as a way of comparing the overall health and life expectancy of different countries.
Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10] As such, it compares estimates of pre- and post-test probability.