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人工智能在预防肥胖中的作用
Golbarg Shabani Jafarabadi1, Luca Busetto2
1Department of Agronomy Food Natural Resources Animals and Environment, University of Padova, 35128 Padova, Italy.
Healthcare (Basel, Switzerland)
|December 30, 2025
概括
人工智能 (AI) 提供了预测肥胖的新方法,肥胖是一种与慢性疾病相关的复杂疾病. 包括机器学习在内的人工智能工具有助于识别模式,并改进早期发现和预防肥胖的战略.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 人工智能在医学中的应用
背景情况:
- 肥胖是一种复杂的疾病,与癌症,糖尿病和心血管疾病等慢性疾病有关.
- 早期识别和诊断肥胖对于管理相关的健康风险至关重要.
- 传统的人类测量正在被先进的人工智能 (AI) 预测模型所补充.
研究的目的:
- 对人工智能在预防肥胖方面的影响进行综合分析.
- 探索AI在评估和预测肥胖方面的作用.
- 为了确定趋势,并指导未来的AI应用在肥胖研究.
主要方法:
- 使用人工智能来分析研究数据库 (PubMed,Scopus,Web of Science,Google Scholar) 进行了一个范围研究.
- 收集和分析了2009年2月至2025年7月的数据.
- 采用人工智能方法来确定肥胖预测的模式和趋势.
主要成果:
- 人工智能模型可以识别显著的肥胖模式和因素与体重结果之间的联系.
- 深度学习和机器学习 (逻辑回归,决策树,神经网络) 为肥胖预测提供了新的见解.
- 聊天机器人可以作为临床知识和肥胖医学政策制定的宝贵资源.
结论:
- 人工智能为肥胖预测和检测的现代挑战提供了有希望的解决方案.
- 需要进一步的研究才能充分利用AI在肥胖管理方面的潜力.
- 人工智能增强了对数据分析在肥胖研究中的理解和应用.
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