文献检索/BMC Public HealthEM-T2BMC Public Health2024-11-25第 24 卷第 1 期，3269-3269开放获取高影响力 · 前 10%The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workersYilin ZhangFujian Medical UniversityYifeng ChenFujian Medical UniversityQingling SuFujian Medical UniversityXiaoyin HuangFujian Medical UniversityQingyu LiFujian Medical UniversityYan YangFujian Medical UniversityZitong ZhangFujian Medical UniversityJiake ChenFujian Medical UniversityZhihong XiaoFujian Medical UniversityRong Hua XuFirst Affiliated Hospital of Fujian Medical UniversityQing ZuFirst Affiliated Hospital of Fujian Medical UniversityShanshan DuFujian Medical UniversityWei ZhengFirst Affiliated Hospital of Fujian Medical UniversityWeimin YeFujian Medical UniversityJianjun XiangFujian Medical University开放获取全文去出版社页面 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petrochemical workersoccupational heat exposureheat-related illnessheat adaptationoccupational health trainingprotective measuresair conditioningnoise and vibration exposuredust exposureGaussian naive BayesSHAPmachine learning predictiondeep learning predictionlabor productivityLasso regression feature selectionextreme gradient boostingrandom forest参考文献75引证文献4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
