Lv57
920 积分 2025-10-17 加入
Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach 利用机器学习方法，分析大量牙周炎患者中导致牙齿脱落的各种因素。
1天前
待确认
Exploring the individual contributions of the 8 adverse childhood experiences (ACEs) domains to substance use 探讨童年时期所经历的 8 种不良经历对物质滥用行为的各自影响
2天前
已关闭
Massell J, Preisig M, Miché M, Strippoli MPF, Pistis G, Lieb R. Prospective prediction of first onset of major depressive disorder in midlife using machine learning. Social Psychiatry and Psychiatric Epidemiology, 2025, 60(10): 2387–2400
18天前
已完结
Su S, Wang K, et al. Effects of sarcopenic obesity on depressive symptoms and their trajectories: findings from the CHARLS 2011-2020. Soc Psychiatry Psychiatr Epidemiol, 2025
18天前
已完结
Childhood neighbourhood quality, peer relationships, and trajectory of depressive symptoms among middle-aged and older Chinese adults 中年及老年中国成年人的童年社区质量、同伴关系及抑郁症状的发展轨迹
18天前
已完结
Childhood neighbourhood quality, peer relationships, and trajectory of depressive symptoms among middle-aged and older Chinese adults 中年及老年中国成年人的童年社区质量、同伴关系及抑郁症状的发展轨迹
18天前
已完结
What machine learning teaches us about depression prediction across the life course: An exploratory comparison of predictive models 机器学习教会我们关于整个生命周期抑郁预测的知识：预测模型的探索性比较
18天前
已关闭
A case for the use of deep learning algorithms for individual and population level assessments of mental health disorders: Predicting depression among China's elderly 利用深度学习算法进行个人和人群层面心理健康障碍评估的案例：预测中国老年人抑郁症
30天前
已完结
Exploring key factors influencing depressive symptoms among middle-aged and elderly adult population: A machine learning-based method 探索影响中老年人抑郁症状的关键因素：基于机器学习的方法
1个月前
已完结
Exploring key factors influencing depressive symptoms among middle-aged and elderly adult population: A machine learning-based method
1个月前
已完结
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