MIMIC II LARGE SCALE DATABASE TO SUPPORT MULTIPARAMETER INTELLIGENT MONITORING

这个子项目是利用由NIH/NCRR资助的中心拨款提供的资源的许多研究子项目之一。子项目和调查员(PI)可能从另一个NIH来源获得了主要资金，因此可能会出现在其他CRISE条目中。列出的机构是针对中心的，而不一定是针对调查员的机构。为了支持用于ICU患者护理的下一代智能患者监控系统的开发，我们正在开发来自ICU患者的大规模临时医疗数据库(MIMIC-II)。使用现代网络和数据库技术，我们正在存档患者记录，其中包括多个医疗参数(心率、血压)、波形(心电、血压)和临床信息系统的所有可用数据(液体平衡、药物、实验室结果、护士文本笔记)。到目前为止，我们已经收集了超过120 GB的数据，包括近700份个人患者记录。一份病人记录的时间跨度可能从几个小时到200个小时或更长时间；从ICU入院到出院。我们目前正在创建一个用户友好的关系数据库，以便简化对MIMIC-II的搜索和索引。我们开发了新的时态查询抽象，将有效地支持各种查询，以及数据挖掘和知识发现研究。使用MIMIC-II，我们目前正在评估我们最近开发的新型智能监控算法和显示框架。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. To support the development of next-generation intelligent patient monitoring systems for ICU patient care, we are developing a massive temporal medical database of unprecedented size from ICU patients (MIMIC-II). Using modern networking and database technologies, we are archiving patient records that include several channels of medical parameters (heart rate, blood pressures), waveforms (ECG, blood pressures), and all the available data from clinical information systems (fluid balance, medications, lab results, nurse text notes). We have hitherto collected over 120 gigabytes of data, including nearly 700 individual patient records. A patient record may span from a few hours to 200 or more hours; from an ICU admission to a discharge. We are currently creating a user-friendly relational database to allow for simplified searching and indexing of MIMIC-II. We have developed novel temporal query abstractions that will efficiently support a wide variety of queries, as well as data mining and knowledge-discovery research. Using MIMIC-II, we are currently evaluating novel intelligent monitoring algorithms and display frameworks that we have recently developed.