Signal-Based Analysis of Clinical Microbiology

描述(申请人提供)：医院感染和抗菌药物 抵抗是现代社会的祸害，影响着数百万美国人 每年都在浪费数十亿美元。及时、准确的数据分析是 对于防止感染和耐药性的传播至关重要。初步 结果表明，将临床微生物学数据作为信号处理并应用 各种分析技术对它们具有巨大的潜力，可以提高 在早期检测到疫情和耐药性的转移，而可能 因为有效的干预仍然存在。在这些结果的基础上，这 研究的目的是充分描述至少五年的历史 来自三家著名医院的微生物学数据。这将被用作培训 通过使用基因来优化早期检测技术的数据 使用Linux超级计算集群的算法(GAS)。调查将会是 在一年的试验前后对感染控制人员进行调查 一个早期的原型实时监控系统，以确定这样的影响 一个系统对他们防止传染病传播的能力有影响。 成功与否将由调查结果以及调查人数来衡量 及时发现疫情。这项研究将扩大科学研究的范围 了解气体、传染病监测和聚集性检测。 建议的商业应用： 医院感染和抗菌素耐药性是医院面临的巨大问题。每个医院都有感染控制程序，每个程序都必须审查微生物学数据。建立在本文建议的研究基础上的监测系统将使医疗机构能够及时发现疫情和趋势，并积极干预，以防止疾病的传播。

DESCRIPTION (provided by applicant): Hospital infections and antimicrobial resistance are scourges of modern society, affecting several million Americans annually and wasting billions of dollars. Timely, accurate data analysis is critical to preventing the spread of infection and resistance. Preliminary results show that treating clinical microbiology data as signals and applying various analytical techniques to them has tremendous potential to improve the detection of outbreaks and shifts in resistance early on, while the possibility for effective intervention still exists. Building on these results, this research aims to fully characterize at least five years of historical microbiology data from three prominent hospitals. This will be used as training data to optimize early detection techniques through the use of genetic algorithms (GAs) using a Linux supercomputing cluster. Surveys will be conducted of the infection control personnel before and after a one year trial of an early prototype real-time monitoring system to determine the impact such a system has on their ability to prevent the spread of infectious disease. Success will be measured by the survey results as well as by the number of outbreaks detected in a timely manner. This research will extend the scientific understanding of GAs, infectious disease surveillance, and cluster detection. PROPOSED COMMERCIAL APPLICATION: Hospital infections and antimicrobial resistance are enormous problems for hospitals. Every hospital has infection control program, and every program must review microbiology data. A surveillance system built upon the research proposed herein will enable healthcare facilities to detect outbreaks and trends in a timely manner and actively intervene to prevent the spread of disease.