Predicting Life Expectancy at Birth
Abstract
Life expectancy is a statistical measure of the average time an organism is expected to live. It analyzes statistics based on the year of birth, current age, and several demographic factors. According to the World Bank, “Life expectancy at birth” refers to the average number of years a newborn is expected to live if mortality patterns at the time of its birth remain constant in the future. In other words, it's looking at the number of people of different ages dying that year, and provides a snapshot of these overall “mortality characteristics” that year for the population.” This reflects a back-end analysis. The goal of this project is forecasting life expectancy at birth. We propose a front-end analysis to predicting life expectancy based on the conditions that a person lives in, and the resources available in their region. Utilizing various analytic techniques of machine learning programs, this project considers the significance and implications of highly correlated variables over space (geographical regions) and time (year) in influencing life expectancy.