文献检索/Journal of Hazardous MaterialsEM-T2Journal of Hazardous Materials2025-03-27第 492 卷，138067-138067Interpretable machine learning-based insights into early-life endocrine disruptor exposure and small vulnerable newbornsLuhan YangGuangdong University of TechnologyYuxian LiuGuangzhou UniversityHenglin ZhangSun Yat-sen UniversityHenglin ZhangGuangdong University of TechnologyYanan ZhaoGuangdong University of TechnologyGuanglan ZhangGuangdong University of TechnologyGuanglan ZhangGuangzhou Women and Children Medical CenterYanpeng CaiGuangdong University of TechnologyZiliang WangGuangdong University of TechnologyJianya XiZiliang WangHong LiangSun Yat-sen UniversityMaohua MiaoGuangdong University of TechnologyTao ZhangSun Yat-sen UniversityJingchuan XueGuangdong University of Technology去出版社页面 引用论文图谱收藏 被引提醒分享打印登录后看摘要和中文要点英文摘要、AI 生成的中文摘要和三条要点、参考文献和引证文献列表、论文图谱，注册免费。登录 / 注册关键词金融风险与机器学习endocrine disruptorsearly life exposuresmall for gestational agepreterm birthneonatessex differences in susceptibilityparabensbenzophenonebenzotriazolematernal urinary biomarkersBayesian kernel machine regressionmodel interpretability参考文献87引证文献0相似文献引文网络关联作者相关机构登录后可以看完整列表。去登录论文图谱本篇和它的参考文献、引证文献、相似文献登录后可以看这篇的论文图谱：谁被它引用、谁引用了它、还有哪些相似的研究。登录 / 注册
