Exploring Factors for Predicting Anxiety Disorders of the Elderly Living Alone in South Korea Using Interpretable Machine Learning: A Population-Based Study
This epidemiological study aimed to develop an X-AI that could explain groups with a high anxiety disorder risk in old age. To achieve this objective, (1) this study explored the predictors of senile anxiety using base models and meta models. (2) This study presented decision tree visualization that...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | International Journal of Environmental Research and Public Health |
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| Online Access: | https://www.mdpi.com/1660-4601/18/14/7625 |