PREDICTION OF LIFE EXPECTANCY FOR ASIAN POPULATION USING MACHINE LEARNING ALGORITHMS
Nurul Shahira Pisal1, Shuzlina Abdul-Rahman2*, Mastura Hanafiah3 and Saidatul Izyanie Kamarudin4
1,2,4Faculty of Computer and Mathematical Sciences,
Universiti Teknologi MARA (UiTM), Shah Alam, MALAYSIA
3Accenture Solutions Sdn. Bhd., Kuala Lumpur, MALAYSIA
1This email address is being protected from spambots. You need JavaScript enabled to view it., 2*This email address is being protected from spambots. You need JavaScript enabled to view it., 3This email address is being protected from spambots. You need JavaScript enabled to view it., 4This email address is being protected from spambots. You need JavaScript enabled to view it.
ABSTRACT
Predicting life expectancy has become more important nowadays as life has become more vulnerable due to many factors, including social, economic, environmental, education, lifestyle, and health condition. A lot of studies on life expectancy have been carried out. However, studies focusing on the Asian population are limited. This study presents machine learning algorithms for life expectancy based on the Asian population dataset. Comparisons are made between tree classifier models, namely, J48, Random Tree, and Random Forest. Cross validations with 10 and 20 folds are used. Results show that the highest accuracy is obtained with Random Forest with 84% accuracy with 10-fold cross-validation. This study further identifies the most significant factors that influence life expectancy prediction, which includes socioeconomic factors and educational status, health conditions and infectious disease.
Keywords: Life Expectancy, Data Classification, Data Mining, Asian Population
Published On: 1 October 2022
