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Explainable artificial intelligence on life satisfaction, diabetes mellitus and its comorbid condition
Ranyeong Kim1,2, Chae-Won Kim3,4, Hyuntae Park5
1Department of Public Health Sciences, Graduate School of Korea University, Seoul, South Korea.
Artificial intelligence confirmed strong links between diabetes and comorbid conditions like cancer and heart disease in older adults. Key factors for managing these conditions include body mass index, income, and life satisfaction.
Area of Science:
- Gerontology
- Artificial Intelligence
- Public Health
Background:
- Diabetes comorbidity presents a significant health challenge for aging populations.
- Understanding the determinants of these comorbidities is crucial for effective management strategies.
Purpose of the Study:
- To investigate the strength of diabetes comorbidity in older adults using artificial intelligence.
- To identify and compare the major determinants of diabetes comorbidity across different condition pairs (diabetes-cancer, diabetes-heart disease, diabetes-mental disease).
Main Methods:
- Utilized artificial intelligence, specifically random forest variable importance and SHAP values, for analysis.
- Employed data from the Korean Longitudinal Study of Ageing (2016-2018) with 5527 participants aged 56+.
- Evaluated hypotheses by assessing the top determinants of comorbidity in 2018 based on 2016 data.
Main Results:
- Diabetes and its comorbid conditions in 2016 were identified as top-2 determinants of comorbidity in 2018.
- Consistent top-10 determinants across all comorbidity pairs included body mass index, income, age, and various life satisfaction measures.
- Including overall life satisfaction in the model was projected to decrease comorbidity probability by 0.02-0.03.
Conclusions:
- The study supports the hypotheses, confirming strong diabetes comorbidity in older adults and similar determinants across conditions.
- Highlights the importance of preventive measures focusing on body mass index, socioeconomic status, life satisfaction, and family support.
- Emphasizes the need for integrated management approaches for diabetes and its common comorbid conditions in the elderly.
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