Data mining is the process of extracting implicit but potentially useful information from incomplete, noisy, and fuzzy data. Data mining offers excellent nonlinear modeling and self-organized learning, and it can play...Data mining is the process of extracting implicit but potentially useful information from incomplete, noisy, and fuzzy data. Data mining offers excellent nonlinear modeling and self-organized learning, and it can play a vital role in the interpretation of well logging data of complex reservoirs. We used data mining to identify the lithologies in a complex reservoir. The reservoir lithologies served as the classification task target and were identified using feature extraction, feature selection, and modeling of data streams. We used independent component analysis to extract information from well curves. We then used the branch-and- bound algorithm to look for the optimal feature subsets and eliminate redundant information. Finally, we used the C5.0 decision-tree algorithm to set up disaggregated models of the well logging curves. The modeling and actual logging data were in good agreement, showing the usefulness of data mining methods in complex reservoirs.展开更多
目的总结介入治疗对预防和治疗凶险型前置胎盘的护理方案及措施。方法对我院血管介入手术室2015年8月-2016年5月收治的14例凶险型前置胎盘患者的临床资料和手术护理措施进行回顾性分析总结。结果14例患者髂内动脉球囊置入阻断均成功,8...目的总结介入治疗对预防和治疗凶险型前置胎盘的护理方案及措施。方法对我院血管介入手术室2015年8月-2016年5月收治的14例凶险型前置胎盘患者的临床资料和手术护理措施进行回顾性分析总结。结果14例患者髂内动脉球囊置入阻断均成功,8例出血量≤600 m L,4例出血量在1 000~2 000 m L,1例患者出血约4000 m L。其中4例患者术后即将球囊摘除,8例患者在球囊摘除术后行子宫动脉栓塞术(Uterine arterial embolization,UAE),仅有1例为胎盘植入且黏连,胎盘剥离不全,行次全子宫切除术。14例患者术后恢复良好,均无明显并发症。15例新生儿中13例Apgar评分均正常,其中有1例患者为双胎妊娠且早产,术后送至新生儿重症病房。结论凶险型前置胎盘剖宫产术前髂内动脉预置球囊阻断和选择性行UAE术,可有效预防和减少剖宫产术中及术后出血量,挽救患者生命的同时保留了患者的子宫。展开更多
基金sponsored by the National Science and Technology Major Project(No.2011ZX05023-005-006)
文摘Data mining is the process of extracting implicit but potentially useful information from incomplete, noisy, and fuzzy data. Data mining offers excellent nonlinear modeling and self-organized learning, and it can play a vital role in the interpretation of well logging data of complex reservoirs. We used data mining to identify the lithologies in a complex reservoir. The reservoir lithologies served as the classification task target and were identified using feature extraction, feature selection, and modeling of data streams. We used independent component analysis to extract information from well curves. We then used the branch-and- bound algorithm to look for the optimal feature subsets and eliminate redundant information. Finally, we used the C5.0 decision-tree algorithm to set up disaggregated models of the well logging curves. The modeling and actual logging data were in good agreement, showing the usefulness of data mining methods in complex reservoirs.
文摘目的总结介入治疗对预防和治疗凶险型前置胎盘的护理方案及措施。方法对我院血管介入手术室2015年8月-2016年5月收治的14例凶险型前置胎盘患者的临床资料和手术护理措施进行回顾性分析总结。结果14例患者髂内动脉球囊置入阻断均成功,8例出血量≤600 m L,4例出血量在1 000~2 000 m L,1例患者出血约4000 m L。其中4例患者术后即将球囊摘除,8例患者在球囊摘除术后行子宫动脉栓塞术(Uterine arterial embolization,UAE),仅有1例为胎盘植入且黏连,胎盘剥离不全,行次全子宫切除术。14例患者术后恢复良好,均无明显并发症。15例新生儿中13例Apgar评分均正常,其中有1例患者为双胎妊娠且早产,术后送至新生儿重症病房。结论凶险型前置胎盘剖宫产术前髂内动脉预置球囊阻断和选择性行UAE术,可有效预防和减少剖宫产术中及术后出血量,挽救患者生命的同时保留了患者的子宫。
