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Chinese literature associated with diagnosis of Helicobacter pylori
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作者 YiWan Yong-YongXu +6 位作者 Jian-HuiJiang Fan-ShuKong Fu-BoXue Yu-XiangBai Bo-RongPan JunRen Dai-MingFan 《World Journal of Gastroenterology》 SCIE CAS CSCD 2004年第2期231-233,共3页
AIM:To synthetically analyze and probe into the diagnosis of H pyloriinfection,we followed the principles of evidencebased medicine.METHODS:A total of 22 papers of prevalence survey and case-control studies were selec... AIM:To synthetically analyze and probe into the diagnosis of H pyloriinfection,we followed the principles of evidencebased medicine.METHODS:A total of 22 papers of prevalence survey and case-control studies were selected for studying about diadynamic methods.Using meta-analysis, we analyzed the different diadynamic methods of H pyloriin China.RESULTS: Through meta-analysis,among the five diadynamic methods,the accuracy of polymerase chain reaction (PCR) was the highest (98.47%) and PCR was the most sensitive method (Sp:99.03%).CONCLUSION:Among the five diadynamic methods, the accuracy of PCR is the highest and PCR is the most sensitive method to diagnose the infection of Hpylori. 展开更多
关键词 幽门螺杆菌 诊断 聚合酶链反应 META分析 消化道肿瘤
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Artificial neural network in studying factors of hepatic cancer recurrence after hepatectomy
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作者 贺佳 贺宪民 张智坚 《Journal of Medical Colleges of PLA(China)》 CAS 2002年第1期65-68,共4页
Objective: To explore the affecting factors of liver cancer recurrence after hepatectomy. Methods:The BP artificial neural network - Cox regression was introduced to analyze the factors of recurrence in1 457 patients.... Objective: To explore the affecting factors of liver cancer recurrence after hepatectomy. Methods:The BP artificial neural network - Cox regression was introduced to analyze the factors of recurrence in1 457 patients. Results: The affecting factors statistically significant to liver cancer prognosis was selected.There were 18 factors to be selected by uni-factor analysis, and 9 factors to be selected by multi-factor analysis. Conclusion: The 9 factors selected can be used as important indexes to evaluate the recurrence of liver cancer after hepatectomy. The artificial neural network is a better method to analyze the clinical data, which provides scientific and objective data for evaluating prognosis of liver cancer. 展开更多
关键词 artificial neural network liver cancer affecting factors
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Markov process method in analyzing longitudinal quality of life data
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作者 WANChonghua 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 1999年第4期312-313,共2页
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