Methods & Analytics Core

方法和分析核心（MACORE）-摘要 慢性疾病和病症（例如，关节炎、糖尿病、心脏病、损伤性残疾） 超过三分之一的65岁或以上的成年人，五分之一的60岁或以上的人口（例如，一千万人 糖尿病），以及每年死亡的美国人的七分之一。需要自我管理计划， 使患者了解疾病特征，练习健康行为，并处理慢性疾病， 很危险本研究将以参与者为中心， 成果、修改现有战略和制定保健自我管理创新战略 通过与医疗保健提供者的互动和加强积极成果。 基于我们在开发管理、处理和分析技术方面的丰富经验， 复杂多维数据集的方法和分析核心（MACORE） 慢性废用自我管理的复杂性（CSCD）中心将提供必要的基础设施 以及支持患者、家属、护理人员、研究人员和利益相关者参与的资源。 具体来说，MACORE将支持CSCD研究项目（试点，合作和服务）的数据 临床相关研究假设的收集和汇总、制定和检验（跨空间， 时间、疾病状态、表型和治疗方案），以及用于引出复杂关系的算法， 自我管理数据中的复杂关联、因果联系和复杂模式。 MACORE的具体目标旨在通过利用 复杂性，以促进自我管理的科学，促进慢性病的健康。我们将 探索跨学科团队指导的新策略，利用创新方法分析 复杂干预措施的影响，并促进发展以复杂方法为重点的专题讨论会。 MACORE将把新手调查员与资源联系起来，以促进独立研究人员的发展 领导跨学科团队，开发一系列技术和支持文档， 选择适当的方法来解决自我管理研究设计、数据处理的复杂性， 分析方案。最后，核心小组将提供方法和分析方面的专门知识和工具， 合作者和试点项目研究人员，并开发CSCD计算基础设施， 高效、可靠的端到端计算工作流解决方案，用于高级数据分析。

Methods & Analytics Core (MACORE) - Summary Chronic diseases and conditions (e.g., arthritis, diabetes, heart disease, injury-based disabilities) affect more than one-third of adults 65 or older, one-fifth of the population age 60 and older (e.g., 10 million people have diabetes), and one-seventh of the Americans who die annually. The need for self-management programs that enable patients to learn the disease characteristics, practice healthy behaviors, and handle chronic disorders is critical. This research will focus on the complexity of self-management by focusing on participant-centered outcomes, modifications of existing and development of innovative strategies for health self-management through interaction with healthcare providers and reinforcement of positive outcomes. Building on our significant prior experience in developing techniques for management, processing, analysis and visualization of complex multidimensional dataset, the Methods and Analytics Core (MACORE) of the Complexity of Self-management in Chronic Disuse (CSCD) Center will provide the necessary infrastructure and resources to support engagement of patients, family, caregivers, researchers and stakeholders. Specifically, MACORE will support CSCD research projects (pilots, collaborations and services) with data collection and aggregation, formulation and testing of clinically-relevant research hypotheses (across space, time, disease state, phenotypes and treatment regiments), and algorithms to elicit the intricate relations, complex associations, causal connections and complex patterns in the self-management data. The MACORE specific aims are designed to support the broader CSCD-wide Center aims by leveraging complexity to advance the science of self-management for the promotion of health in chronic illness. We will explore new strategies for mentorship by interdisciplinary teams, utilizing innovative methods for analyzing the effects of complex interventions and facilitating development of symposia focused on complex methodology. MACORE will link novice investigators with resources to facilitate development as independent researchers and to lead interdisciplinary teams and develop a range of techniques and supporting documentation for selecting appropriate methods to address complexity for self-management study designs, data processing, and analytical protocols. Finally, the Core will provide methodological and analytic expertise and tools to collaborators and pilot project investigators and develop the CSCD computational infrastructure enabling efficient and reliable end-to-end computational workflow solutions for advanced data analytics.