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Predicting Life Expectancy at Birth

机译：预测出生时的预期寿命

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摘要

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.
机译：预期寿命是对生物体预期平均生存时间的统计量度。它根据出生年份，当前年龄和一些人口统计学因素来分析统计数据。根据世界银行的说法，“出生时的预期寿命”是指如果新生儿出生时的死亡率模式将来保持不变，则该新生儿的预期平均寿命。换句话说，它查看的是当年死亡的不同年龄的人数，并提供了当年该人群总体这些“死亡率特征”的快照。”这反映了后端分析。该项目的目标是预测出生时的预期寿命。我们提出了一个前端分析，以根据一个人的居住条件和所在地区的可用资源来预测预期寿命。利用机器学习程序的各种分析技术，该项目考虑了空间（地理区域）和时间（年）上高度相关的变量在影响预期寿命方面的意义和含义。

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