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Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin

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 Asi...

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Main Authors: Pisal, Nurul Shahira, Abdul Rahman, Shuzlina, Hanafiah, Mastura, Kamarudin, Saidatul Izyanie
Format: Article
Language:English
Published: Universiti Teknologi MARA 2022
Online Access:https://ir.uitm.edu.my/id/eprint/69247/1/69247.pdf
https://ir.uitm.edu.my/id/eprint/69247/
https://mjoc.uitm.edu.my
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spelling my.uitm.ir.692472022-10-27T04:06:34Z https://ir.uitm.edu.my/id/eprint/69247/ Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin Pisal, Nurul Shahira Abdul Rahman, Shuzlina Hanafiah, Mastura Kamarudin, Saidatul Izyanie 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. Universiti Teknologi MARA 2022-10 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/69247/1/69247.pdf Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin. (2022) Malaysian Journal of Computing (MJoC), 7 (2): 7. pp. 1150-1161. ISSN 2600-8238 https://mjoc.uitm.edu.my
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description 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.
format Article
author Pisal, Nurul Shahira
Abdul Rahman, Shuzlina
Hanafiah, Mastura
Kamarudin, Saidatul Izyanie
spellingShingle Pisal, Nurul Shahira
Abdul Rahman, Shuzlina
Hanafiah, Mastura
Kamarudin, Saidatul Izyanie
Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
author_facet Pisal, Nurul Shahira
Abdul Rahman, Shuzlina
Hanafiah, Mastura
Kamarudin, Saidatul Izyanie
author_sort Pisal, Nurul Shahira
title Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
title_short Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
title_full Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
title_fullStr Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
title_full_unstemmed Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
title_sort prediction of life expectancy for asian population using machine learning algorithms / nurul shahira pisal, shuzlina abdul-rahman, mastura hanafiah and saidatul izyanie kamarudin
publisher Universiti Teknologi MARA
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/69247/1/69247.pdf
https://ir.uitm.edu.my/id/eprint/69247/
https://mjoc.uitm.edu.my
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score 13.211869

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