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Predicting the Risk of Arterial Stiffness in Coal Miners Based on Different Machine Learning Models
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作者 CHEN Qian Wei HUANG Xue Zan +8 位作者 DING Yu ZHU Feng Ren WANG Jia ZOU Yuan Jie DU Yuan Zhen zhang ya jun HUI Zi Wen ZHU Feng Lin MU Min 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2024年第1期108-111,共4页
Coal is one of the world’s main energy resources,accounting for approximately 68%of China’s current total power generation.However,several studies have demonstrated that dust,exhaust fumes,and other harmful factors ... Coal is one of the world’s main energy resources,accounting for approximately 68%of China’s current total power generation.However,several studies have demonstrated that dust,exhaust fumes,and other harmful factors in coal mines increase the risk of cardiovascular disease(CVD)among miners^([1]).Arterial stiffness(AS)is an independent risk factor of CVD,and epidemiological studies have shown that AS plays a vital role in assessing the risk of CVD^([2]). 展开更多
关键词 ARTERIAL CARDIOVASCULAR ASSESSING
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