iRescU -社会公益拯救生命数据填补心脏骤停生存率的空白
iRescU - Data for Social Good Saving Lives Bridging the Gaps in Sudden Cardiac Arrest Survival
摘要：
目前，在美国，每天有1000人在医院或救护车外死于心脏骤停（SCA）-在紧急医疗救助到达之前-在我们城市的街道，工作场所，学校和家中，成人和儿童。脑死亡在3分钟内开始，救护车往往不能及时赶到。公民心肺复苏术（CPR）和自动体外除颤器（AED）的使用可以挽救宝贵的时间和生命。在SCA中使用公共访问AED可以挽救生命-然而，AED用于<2%的心脏骤停，但如果可用，可找到，功能和使用，可以挽救80%的生命。要解决的系统问题是，没有AED位置的全面或实时的可访问的数据库，并且也不知道它们实际上被定位在需要它们的地方。iRescU项目旨在通过大幅扩充AED数据库来弥合SCA生存中的这一差距。利用与现有911服务和SCA事件以及基于机器学习数据信息的预计事件相集成的AED众包和地理定位的组合，以帮助在SCA紧急情况下使最近的AED可访问和可用，并确定社区中最需要放置AED的区域。通过社会公益方法和应用大数据，帮助拯救生命和解决可预防的死亡问题。
英文摘要：
Currently every day in the USA 1000 people die of sudden cardiac arrest (SCA) outside of hospitals or ambulances - before emergency medical help arrives - in the streets, workplaces, schools and homes of our cities, adults and children. Brain death commences in 3 minutes, and often the ambulance just can't be there in time. Citizen cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use can save precious minutes and lives. Using public access AED's saves lives in SCA- however AEDs are used in <2% of cardiac arrests, though could save lives in 80% if available, findable, functioning, and used. The systems problem to solve is that there is no comprehensive or real time accessible database of the AED locations, and also it is not known that they are actually being positioned where they are needed. The iRescU project is designed to bridge this gap in SCA survival, by substantially augmenting the AED database. Utilizing a combination of AED crowd sourcing and geolocation integrated with existing 911 services and SCA events and projected events based on machine learning data information to help make the nearest AED accessible and available in the setting of a SCA emergency and to identify the areas of greatest need for AEDs to be positioned in the community. Helping to save lives and address preventable death with a social good approach and applied big data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
