LEAP Methods Core

LEAP 方法核心

• 批准号: 10376218
• 负责人: MIGUEL HERNAN
• 金额: $ 59.06万
• 依托单位: MCLEAN HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-05-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10376218
• 关键词: Address; Algorithms; Area; Caring; Characteristics; Clinic; Clinical; Clinical Data; Clinical Management; Clinical Research; Clinical effectiveness; Collaborations; Communities; Community Practice; Comparative Effectiveness Research; Complex; Data; Data Analyses; Data Science; Data Security; Data Set; Data Sources; Databases; Decision Making; Development; Discipline; Electronic Health Record; Empirical Research; Ensure; Epidemiology; Funding; Generations; Health Insurance; Health Policy; Health system; Healthcare; Incubators; Infrastructure; Knowledge; Laboratories; Link; Machine Learning; Massachusetts; Measures; Mental Health; Methodology; Methods; Modeling; Modernization; National Institute of Mental Health; Outcome; Patients; Procedures; Psychiatry; Research; Research Methodology; Research Personnel; Research Project Grants; Resources; Secure; Services; Standardization; Structure; Techniques; Thinness; Time; Translating; Translational Research; Work; advanced analytics; analytical method; base; clinical predictors; compare effectiveness; computer science; computerized tools; computing resources; data management; data repository; diverse data; early psychosis; effective intervention; first episode psychosis; high dimensionality; improved; innovation; insight; insurance claims; large datasets; longitudinal dataset; machine learning algorithm; novel; practice setting; predictive tools; response; socioeconomics; statistics; theories

1. Abstract The Methods Core of the LEAP Center will create a data platform that integrates information obtained at different levels of care of First Episode Psychosis (FEP) patients and will develop the computational tools that will allow Center investigators to access and analyze the integrated databases. Specifically, the Methods Core will provide the methodological expertise for the application of state-of-the-art machine leaning algorithms for clinical prediction, and for the application of cutting-edge causal inference techniques for comparative effectiveness research. First, the Methods Core will provide the database infrastructure to securely store, harmonize, link, manage, and analyze the high-dimensional databases that will be used by Center investigators. These databases include detailed clinical, demographic, socioeconomic information for each FEP patients, plus electronic health records and insurance claims, and longitudinal datasets on clinics characteristics and services offered. Many of these data sources have never been used for mental health research, either independently or in concert. We will create the only U.S.-based consortium approaching a thousand FEP patients. Second, the Methods Core will ensure that recent advances in clinical prediction and comparative effectiveness research can be applied to large databases of FEP patients and will be an incubator of methodological research in response to the requirements of the Center projects. It will serve as a platform for a synergistic collaboration between experts in several disciplines—psychiatry, statistics, epidemiology, and health policy—who will engage in high-impact studies to improve the clinical outcomes of FEP patients. Our project also provides a potential model for data consolidation and expertise sharing across multiple NIMH Alacrity P50 Centers. In summary, the Methods Core will support the data analysis activities throughout all projects, and will disseminate methodological advances amongst the community of mental health researchers and will therefore function as a national resource that facilitates the use of innovative methods beyond the Center investigators.

1.摘要 LEAP中心的方法核心将创建一个数据平台，将在 首次发作精神病（FEP）患者的不同护理水平，并将开发计算工具， 将允许中心研究者访问和分析集成数据库。具体来说，核心方法 将为应用最先进的机器学习算法提供方法学专业知识， 临床预测，并为应用先进的因果推理技术，比较 有效性研究。首先，方法核心将提供数据库基础设施，以安全地存储， 协调、链接、管理和分析中心将使用的高维数据库 investigators.这些数据库包括每个人的详细临床、人口统计学、社会经济学信息， FEP患者，加上电子健康记录和保险索赔，以及诊所的纵向数据集 提供的特点和服务。其中许多数据来源从未用于心理健康 研究，无论是独立还是合作。我们将创造美国唯一的-基于财团接近 1000名FEP患者。其次，核心方法将确保临床预测和 比较有效性研究可以应用于FEP患者的大型数据库，并将成为孵化器 根据中心项目的要求进行方法研究。它将作为一个平台， 精神病学、统计学、流行病学和 卫生政策-世卫组织将参与高影响力的研究，以改善FEP患者的临床结局。我们 该项目还为多个NIMH之间的数据整合和专业知识共享提供了一个潜在的模型 Alacrity P50中心。总之，方法核心将支持所有的数据分析活动， 项目，并将在精神卫生研究人员社区中传播方法学方面的进展 因此，它将作为一种国家资源，促进使用创新方法， 中心调查员。