Analysis of life expectancy across countries using a decision tree

Karacan, İlknur; Şennaroğlu, Bahar; Vayvay, Özalp

doi:10.26719/2020.26.2.143

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…Decision Trees [37][38][39] are one of the most powerful algorithmic approaches currently used in the vast majority of Machine Learning research fields, especially in the fields of healthcare and data mining or data science, which search for different behaviors that can define efficient and more accurate sets of patterns, that are applicable to the general population.…”

Section: Decision Tree Classification Analysismentioning

confidence: 99%

Group Classification for the Search and Identification of Related Patterns Using a Variety of Multivariate Techniques

Boukichou-Abdelkader,

Montero-Alonso,

Muñoz-García

2024

Computation

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Recently, many methods and algorithms have been developed that can be quickly adapted to different situations within a population of interest, especially in the health sector. Success has been achieved by generating better models and higher-quality results to facilitate decision making, as well as to propose new diagnostic procedures and treatments adapted to each patient. These models can also improve people’s quality of life, dissuade bad health habits, reinforce good habits, and modify the pre-existing ones. In this sense, the objective of this study was to apply supervised and unsupervised classification techniques, where the clustering algorithm was the key factor for grouping. This led to the development of three optimal groups of clinical pattern based on their characteristics. The supervised classification methods used in this study were Correspondence (CA) and Decision Trees (DT), which served as visual aids to identify the possible groups. At the same time, they were used as exploratory mechanisms to confirm the results for the existing information, which enhanced the value of the final results. In conclusion, this multi-technique approach was found to be a feasible method that can be used in different situations when there are sufficient data. It was thus necessary to reduce the dimensional space, provide missing values for high-quality information, and apply classification models to search for patterns in the clinical profiles, with a view to grouping the patients efficiently and accurately so that the clinical results can be applied in other research studies.

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Section: Decision Tree Classification Analysismentioning

confidence: 99%

Group Classification for the Search and Identification of Related Patterns Using a Variety of Multivariate Techniques

Boukichou-Abdelkader,

Montero-Alonso,

Muñoz-García

2024

Computation

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“…Life expectancies in Korea are now approaching the upper tier globally, although there are gender differences between men and women. According to a study published by Karacan et al (2019), women in South Korea are projected to be first globally to have an average life expectancy in excess of 90, with a 57% confidence rate of this happening by 2030. This information, along with the low TFR, will mean that the overall number and proportion of older people in Korea will increase, but the overall population of the country will also eventually start to decline, and this decline will accelerate quickly (Jones, 2019).…”

Section: Increased Life Expectanciesmentioning

confidence: 99%

Exploring the effects of demographic transitions in Korea on migrant worker usage

Callinan¹

2020

JIDB

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Purpose: This study explores how demographic transitions with workforce implications taking place in South Korea are affecting the job market, and proposes a novel conceptual model to analyze the increased role that migrant workers will play as the changes progress in the medium term. Research design, data and methodology: A qualitative approach based on the available published data is used in order to create a conceptual model that could be used to determine the order in which job sector strata will be gradually taken over by migrant workers, as the demographic transitions will create an increasing need for workforce reforms. Results: The study determines that migrant workers will replace domestic Korean workers in a stratified manner, initially in rural areas, followed by regional cities and then in the industrial areas on the edges of big cities, and the strata can be analyzed based on a proposed four-category model to determine where the opportunities will open. Conclusion: It is possible to use a conceptual model for this phenomenon. Extensive Government planning is needed to avoid possible social exclusion problems and to determine how to keep the economies of rural and regional Korean cities economically viable while they are becoming increasingly depopulated.

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“…Life expectancy (LE) at birth is a well-established indicator of the overall health of a population [4,5]. LE reflects the cumulative effect of biological, behavioural and environmental determinants of health, including working and living conditions, exposure to pollution, access to health care, education, income, and social support [6].…”

Section: Introductionmentioning

confidence: 99%

Gender equality related to gender differences in life expectancy across the globe gender equality and life expectancy

Pinho-Gomes

Peters

2023

PLOS Glob Public Health

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Life expectancy (LE) depends on the wider determinants of health, many of which have gendered effects worldwide. Therefore, this study aimed to investigate whether gender equality was associated with LE for women and men and the gender gap in LE across the globe. Gender equality in 156 countries was estimated using a modified global gender gap index (mGGGI), based on the index developed by the World Economic Forum between 2010 and 2021. Linear regression was used to investigate the association between the mGGGI and its economic, political, and education subindices and the gender gap in LE and women and men’s LE. Overall, the mGGGI increased from 58% in 2010 to 62% in 2021. Globally, changes in the mGGGI and its economic and political subindexes were not associated with changes in the gender gap in LE or with LE for women and men between 2010 and 2020. Improvements in gender equality in education were associated with a longer LE for women and men and widening of the gender gap in LE. In 2021, each 10% increase in the mGGGI was associated with a 4.3-month increase in women’s LE and a 3.5-month increase in men’s LE, and thus with an 8-month wider gender gap. However, the direction and magnitude of these associations varied between regions. Each 10% increase in the mGGGI was associated with a 6-month narrower gender gap in high-income countries, and a 13- and 16-month wider gender gap in South and Southeast Asia and Oceania, and in Sub-Saharan Africa, respectively. Globally, greater gender equality is associated with longer LE for both women and men and a widening of the gender gap in LE. The variation in this association across world regions suggests that gender equality may change as countries progress towards socioeconomic development and gender equality.

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Analysis of life expectancy across countries using a decision tree

Cited by 7 publications

References 15 publications

Group Classification for the Search and Identification of Related Patterns Using a Variety of Multivariate Techniques

Group Classification for the Search and Identification of Related Patterns Using a Variety of Multivariate Techniques

Exploring the effects of demographic transitions in Korea on migrant worker usage

Gender equality related to gender differences in life expectancy across the globe gender equality and life expectancy

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