Saeed M, Lieu C, Raber G, Mark R G
Harvard-MIT, Cambridge, MA, USA.
Comput Cardiol. 2002;29:641-4.
Development and evaluation of Intensive Care Unit (ICU) decision-support systems would be greatly facilitated by the availability of a large-scale ICU patient database. Following our previous efforts with the MIMIC (Multi-parameter Intelligent Monitoring for Intensive Care) Database, we have leveraged advances in networking and storage technologies to develop a far more massive temporal database, MIMIC II. MIMIC II is an ongoing effort: data is continuously and prospectively archived from all ICU patients in our hospital. MIMIC II now consists of over 800 ICU patient records including over 120 gigabytes of data and is growing. A customized archiving system was used to store continuously up to four waveforms and 30 different parameters from ICU patient monitors. An integrated user-friendly relational database was developed for browsing of patients' clinical information (lab results, fluid balance, medications, nurses' progress notes). Based upon its unprecedented size and scope, MIMIC II will prove to be an important resource for intelligent patient monitoring research, and will support efforts in medical data mining and knowledge-discovery.
大规模重症监护病房（ICU）患者数据库的存在将极大地促进ICU决策支持系统的开发与评估。继我们之前使用MIMIC（重症监护多参数智能监测）数据库所做的工作之后，我们利用网络和存储技术的进步开发了一个规模大得多的时态数据库MIMIC II。MIMIC II是一项正在进行的工作：数据从我们医院的所有ICU患者中持续前瞻性存档。MIMIC II目前包含800多条ICU患者记录，包括超过120GB的数据，并且还在不断增加。使用定制的存档系统连续存储来自ICU患者监护仪的多达四个波形和30个不同参数。开发了一个集成的用户友好关系数据库，用于浏览患者的临床信息（实验室检查结果、液体平衡、用药情况、护士病程记录）。基于其前所未有的规模和范围，MIMIC II将被证明是智能患者监测研究的重要资源，并将支持医学数据挖掘和知识发现方面的工作。
