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可解释的人工智能对生活满意度,糖尿病及其伴随性疾病的影响
Ranyeong Kim1,2, Chae-Won Kim3,4, Hyuntae Park5
1Department of Public Health Sciences, Graduate School of Korea University, Seoul, South Korea.
人工智能证实了糖尿病与老年人癌症和心脏病等并发症之间的强烈联系. 管理这些疾病的关键因素包括体重指数,收入和生活满意度.
科学领域:
- 老年学是指老年学的学科.
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 糖尿病并发症对于老年人群来说是一个重大的健康挑战.
- 了解这些并发症的决定因素对于有效的管理策略至关重要.
研究的目的:
- 用人工智能研究老年人糖尿病并发症的强度.
- 识别和比较不同疾病对 (糖尿病-癌症,糖尿病-心脏病,糖尿病-精神疾病) 中糖尿病并发症的主要决定因素.
主要方法:
- 利用人工智能,特别是随机森林变量重要性和SHAP值,进行分析.
- 采用了来自韩国老龄化纵向研究 (2016-2018) 的数据,其中5527名56岁以上的参与者.
- 根据2016年的数据,通过评估2018年伴随性疾病的主要决定因素来评估假设.
主要成果:
- 2016年,糖尿病及其伴随性疾病被确定为2018年伴随性疾病的第二大决定因素.
- 在所有并发症对中,一致的前10大决定因素包括体重指数,收入,年龄和各种生活满意度指标.
- 将整体生活满意度纳入模型预计将伴随性疾病的概率降低0.02-0.03.
结论:
- 这项研究支持了这些假设,证实了老年人患糖尿病的强烈并发性疾病以及跨疾病的类似决定因素.
- 强调预防措施的重要性,重点关注人体质量指数,社会经济地位,生活满意度和家庭支持.
- 强调需要对糖尿病及其老年人常见的并发性疾病采取综合管理方法.
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