Predicting life expectancy has become more important nowadays as life has become more
vulnerable due to many factors, including social, economic, environmental, education …

One of the most crucial elements in end-of-life judgment is life expectancy. For example,
good forecasting aids in determining the course of therapy and planning for the acquisition …

Life expectancy is defined as the average number of years a person could expect to live,
according to the current mortality rates. In today's world, with the existence of various …

Cancer is the second leading cause of death globally. Especially, breast cancer is the most
problematic cancer with more death rates. In this paper, we proposed a novel fusion …

This study aims to conduct a hybrid review on applying machine learning techniques in
chronic disease literature using both bibliometric and systematic review techniques. The …

The population's life expectancy is a problem for the government or pertinent agency of a
particular nation. A statistical measurement of the anticipated average lifespan of an …

This study carried out a comparative analysis of the mean, median, and mode imputations
for NULL values in a dataset. We used five different pre-processing techniques to create …

The use of quantile regression in analyzing determinants of life expectancy provides a deep
understanding of the influence of predictor variables across various quantiles of the data …

Life expectancy is an important indicator of population and public health, representing the
average life expectancy of a person based on the current mortality rate. It provides valuable …

Life Expectancy is the average number of years some person or group of people tends to
live. Being able to predict life expectancy may help to deliver potential insights, eg, the …