Data and Modeling Core

项目摘要/摘要 蒙大拿州是西部地区农村最多的州，在 农村儿童需要全面了解如何制定预防战略， 适应农村社区，并在农村社区进行测试。在调查人员面临的障碍中， 农村卫生问题是访问电子病历和其他敏感数据源的困难 在一个学术医疗中心外。在蒙大拿州，DM Core将第一次提供一个中央资源 用于捕获和管理电子健康记录、生命统计数据和其他敏感记录 多个提供程序和数据源。农村卫生调查人员面临的另一个挑战是，农村 从数据分析的角度来看，社区面临着独特的挑战。特别是，农村社区 更与世隔绝，人口更稀少，环境监测更有限，而且往往更少 获得与健康有关的资源。这些因素将需要创新的生物统计和建模方法。 它们由高性能计算(HPC)功能支持。DM核心将提供 生物统计学和建模方面的专业知识以及应对这些挑战的高性能计算资源。总体而言， DM Core将提供必要的数据科学、生物统计、数学和计算资源，以 成功地支持和开展农村社区的预防研究。

Project Summary/Abstract Montana is the most rural state in the West region, and improving overall health and reducing risks among rural children requires a comprehensive understanding of how prevention strategies can be developed for, adapted to, and tested in rural communities. Among the barriers faced by investigators addressing important rural health issues is the difficulty in accessing electronic medical records and other sensitive data sources outside an academic medical center. For the first time in Montana, the DM Core will provide a central resource for capture and management of electronic health records, vital statistics and other sensitive records across multiple providers and data sources. Another challenge faced by rural health investigators is that rural communities present unique challenges from a data analytics perspective. In particular, rural communities are more insular, more sparsely populated, have more limited environmental monitoring, and often have less access to health-related resources. Such factors will require innovative biostatistical and modeling approaches that are supported by high performance computing (HPC) capabilities. The DM Core will provide the biostastistical and modeling expertise as well as the HPC resources to address these challenges. Overall, the DM Core will provide the necessary data science, biostatistical, mathematical, and computational resources to successfully support and conduct prevention research for rural communities.