Data Science and Applied Technology Core (RC4)

摘要 数据科学和应用技术（DSAT）核心（RC 4），最近加入了佛罗里达大学（UF） 美国老年人独立中心（OAIC）提供了一个互动的数据和技术生态系统，旨在 保持行动能力和预防残疾。大数据计划、应用技术和新技术 数据科学的方法论方法在许多不同的环境中迅速发展， 正在向计算和传感组件的连接系统发展。广泛使用的术语“互联网 物联网”是指收集有关健康、活动、位置等详细数据的环境 参与实体的情况。灵活控制不同的互联和频繁 通信组件可以提供一组丰富的应用程序，这些应用程序可以动态地适应它们的 环境此外，移动的健康（mHealth、智能手机和智能手表）技术正在发生变化 患者和研究参与者如何在真实的时间内交流他们的健康状况。这些 可能性导致NIH提出了大型倡议（大数据到知识（BD 2K）和精确 医学倡议队列计划），以满足这一新的知识需求。DSAT调查人员提供 OAIC的领导，以确保研究人员在老年医学一般，流动性和残疾准备， 这些技术的快速发展。 RC 4提供了许多独特的属性，例如：为交互式移动的技术开发软件（例如， 可真实的编程的可穿戴传感器）;验证新的传感技术;存储数据; 重新利用数据;将机器学习技术应用于领域问题。DSAT提供了一个中央 计算机科学、生物医学工程、生物医学信息学、数据科学、应用 技术、流行病学和内容方面的专业知识，以评估流动性： ·支持OAIC核心，培训初级学者，并为研究人员和从业人员提供外展服务; ·先进的交互式监测，用于评估移动性表型; ·存储和集成多模式数据; ·进行机器学习和模式发现分析; ·收集电子健康记录（EHR）数据以识别和招募参与者; ·重新利用高分辨率生物医学数据和生理信号，以获得移动表型;以及 ·加强外部支持的项目。 对数据科学和应用技术的需求日益增长，以应对保护 流动性和预防残疾。DSAT核心为这一挑战增加了一个高度创新的方面， 引领它进入计算、传感和生物医学信息学的连接系统的未来。

ABSTRACT Data Science and Applied Technology (DSAT) Core (RC4), a recent addition to the University of Florida (UF) Older Americans Independence Center (OAIC), provides an interactive data and technology ecosystem aimed at preserving mobility and preventing disability. Big data initiatives, applied technologies, and new methodological approaches for data science have grown rapidly in many various environments, and the world is moving toward a connected system of computing and sensing components. The broadly used term “Internet of Things” refers to an environment in which detailed data are collected on health, activity, location, and other aspects of the participating entities. Flexible control of the different interconnected and frequently communicating components can provide a rich set of applications that can adapt dynamically to their environment. Additionally, mobile health (mHealth, smartphones and smartwatches) technologies are changing the landscape for how patients and research participants communicate about their health in real time. These possibilities have led the NIH to put forth large initiatives (Big Data to Knowledge (BD2K) and The Precision Medicine Initiative Cohort Program) for meeting this new demand for knowledge. DSAT investigators provide OAIC leadership to assure that researchers in Geriatrics in general, mobility and disability are prepared for the rapid advances in these expanding technologies. The RC4 provides many unique attributes, such as: developing software for interactive mobile technology (e.g., wearable sensors that are programmable in real time); validating new sensing technology; warehousing data; repurposing data; and applying machine learning techniques to domain problems. DSAT provides a central hub of expertise in computer science, biomedical engineering, biomedical informatics, data science, applied technology, epidemiology, and content expertise in the assessment of mobility to: • Support OAIC cores, train Junior Scholars, and provide outreach to researchers and practitioners; • Advance interactive monitoring for assessing mobility phenotypes; • Warehouse and integrate multimodal data; • Conduct machine-learning and pattern-discovery analyses; • Harvest electronic health record (EHR) data to identify and recruit participants; • Repurpose high-resolution biomedical data and physiological signals to derive mobility phenotypes; and • Enhance externally supported projects. There is a growing demand for data science and applied technology for meeting the challenge of preserving mobility and preventing disability. The DSAT Core adds a highly innovative aspect to this challenge that will lead it into the future of connected systems of computing, sensing and biomedical informatics.