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Pattern recognition prediction of coal and gas outburst hazard in the sixth mine of Hebi 被引量:1
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作者 张宏伟 宋卫华 +1 位作者 杨恒 张明杰 《Journal of Coal Science & Engineering(China)》 2008年第2期248-251,共4页
Based on the systematical analysis influence factors of coal and gas outburst, the main factors and their magnitude was determined by the corresponding methods.With the research region divided into finite predicting u... Based on the systematical analysis influence factors of coal and gas outburst, the main factors and their magnitude was determined by the corresponding methods.With the research region divided into finite predicting units,the internal relation between the factors and the hazard of coal and gas outburst,that was combination model of influence factors,was ascertained through multi-factor pattern recognition method.On the basis of contrastive analysis the pattern of coal and gas outburst between prediction region and mined region,the hazard of every predication unit was determined.The mining area was then divided into coal and gas outburst dangerous area,threaten area and safe area re- spectively according to the hazard of every predication unit.Accordingly the hazard of mining area is assessed. 展开更多
关键词 coal and gas outburst multi-factor prediction units pattern recognition probability prediction
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Predictive risk factors for prolonged stay in intensive care unit in patients undergoing coronary artery bypass grafting surgery
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作者 袁忠祥 《外科研究与新技术》 2011年第3期183-184,共2页
Objective To describe the preoperative factors of prolonged intensive care unit length of stay after coronary artery bypass grafting. Methods From 1997 to 2009, 1318 patients underwent isolated CABG in our hospital. R... Objective To describe the preoperative factors of prolonged intensive care unit length of stay after coronary artery bypass grafting. Methods From 1997 to 2009, 1318 patients underwent isolated CABG in our hospital. Retrospective analysis was performed on these cases. Univariate and multivariate analyses 展开更多
关键词 length CABG Predictive risk factors for prolonged stay in intensive care unit in patients undergoing coronary artery bypass grafting surgery LVEF
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