Data and Modeling Core

项目总结/摘要 蒙大拿州是西部地区最偏远的州，改善整体健康状况，降低 农村儿童需要全面了解如何制定预防战略， 适应并在农村社区进行测试。调查人员在处理重要问题时面临的障碍包括 农村卫生问题是难以获得电子病历和其他敏感数据源 在一个学术医疗中心外在蒙大拿州，DM核心将首次提供中央资源 收集和管理电子健康记录、生命统计数据和其他敏感记录， 多个供应商和数据源。农村卫生调查人员面临的另一个挑战是， 从数据分析的角度来看，社区提出了独特的挑战。特别是农村社区， 更孤立，人口更稀少，环境监测更有限， 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 高性能计算（HPC）能力支持的。DM Core将提供 生物统计和建模专业知识以及HPC资源来应对这些挑战。总体看 DM Core将提供必要的数据科学、生物统计、数学和计算资源， 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.