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基于重症监护数据库MIMIC-Ⅱ的临床数据挖掘研究 被引量:8

Clinical Data Mining by Exploring Public MIMIC-Ⅱ Intensive Care Database
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摘要 该文介绍了麻省理工计算生理学实验室、哈佛医学院BID医学中心以及飞利浦医疗合作建立的、开源的、多参数智能重症监护数据库Multiparameter Intelligent Monitoring in Intensive Care II:MIMIC-II,简单介绍了其结构、功能和临床应用。基于MIMIC-II临床数据库,开展了ICU脓毒血症病人血压和心率的昼夜节律性研究。该研究发现了脓毒血症患者死亡组和存活组在生理参数昼夜节律性上的显著性差异,解决了使用关系型数据库MIMIC-II开展生理参数昼夜节律性研究的很多技术问题。 This paper introduces a free and publicly open ICU database: multi-parameter intelligent monitoring in intensive care II: MIMIC-II, which has been built up and maintained by the laboratory of computational physiology at the Massachusetts Institute Technology, Beth Israel Deaconess Medical Center and Philips Healthcare over the past decade. This paper briefly introduces its infrastructure, implementation and applications in clinical studies. Clinical study pertaining to circadian variation in heart rate and blood pressure during sepsis is shown as a typical example of research performed with MIMIC-II. In this study, it was found there was significant difference in circadian variation in both heart rate and blood pressure between survival and non-survival groups in septic patients. This study tackled several important techniques necessary for the investigation of the circadian rhythm.
出处 《中国医疗器械杂志》 CAS 2014年第6期402-406,共5页 Chinese Journal of Medical Instrumentation
基金 北京市自然基金资助项目(3122034) 国家科技支撑计划项目(2013BAI03B05)
关键词 数据挖掘 重症监护数据库 MIMIC-Ⅱ 脓毒血症 昼夜节律性 data mining, intensive care database, MIMIC-II, septic patients, circadian rhythm
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参考文献18

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同被引文献65

  • 1王兴玲,李占斌.基于网格搜索的支持向量机核函数参数的确定[J].中国海洋大学学报(自然科学版),2005,35(5):859-862. 被引量:127
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